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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 24175
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    Explanations

    phrases related to future predictions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to predictions and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    fax
    -0.70
    ishi
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     workspace
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     dust
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     arts
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    oshenko
    -0.64
     srfAttach
    -0.64
    wagen
    -0.61
    ¯¯¯¯¯¯¯¯
    -0.59
    Hub
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    POSITIVE LOGITS
    itism
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    heid
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    ilial
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    xual
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    ential
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    inctions
    0.67
    rules
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    heses
    0.66
    axis
    0.66
    SHIP
    0.66
    Activations Density 0.054%

    No Known Activations