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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. 3-RES-JB
    11. 18487
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    Explanations

    words related to apes and primates

    oai_token-act-pair · gpt-3.5-turbo

    references to great apes and primates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gren
    -0.85
    endiary
    -0.77
    rences
    -0.74
    uci
    -0.73
    ibel
    -0.73
    turn
    -0.72
    rupt
    -0.71
    alties
    -0.71
    sec
    -0.70
    ved
    -0.70
    POSITIVE LOGITS
     chimpanzees
    1.16
     Haram
    1.09
     apes
    1.03
    zee
    1.03
    zees
    1.02
     primates
    1.00
     gorilla
    0.95
    xual
    0.87
     chimpan
    0.85
     Guinea
    0.82
    Activations Density 0.025%

    No Known Activations