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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. 18564
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to categorization or division of content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.72
    warning
    -0.68
     DeL
    -0.67
    zai
    -0.66
     intimid
    -0.63
     Marino
    -0.63
    era
    -0.62
     override
    -0.61
    orno
    -0.61
     surpr
    -0.60
    POSITIVE LOGITS
     adulthood
    0.88
     submission
    0.77
    pload
    0.75
     thirds
    0.72
    Merit
    0.70
    ciples
    0.66
     Pieces
    0.66
    asons
    0.65
    hex
    0.65
     phases
    0.63
    Activations Density 0.051%

    No Known Activations