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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12251
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osphere
    -0.70
    ioxide
    -0.68
    otaur
    -0.67
    bey
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    ournal
    -0.66
    irit
    -0.65
    iage
    -0.65
    secution
    -0.65
    mosp
    -0.65
     Appears
    -0.64
    POSITIVE LOGITS
     enough
    1.10
    arily
    0.97
    isable
    0.88
    istically
    0.87
    aneously
    0.82
    izable
    0.80
    nell
    0.78
     nonetheless
    0.76
    itably
    0.73
     corrid
    0.70
    Activations Density 0.408%

    No Known Activations