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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. 18423
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    INDEX
    Explanations

    proper nouns referring to people or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities named "Row" followed by a number

    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
    merce
    -0.85
    ãĥ¤
    -0.80
    £ı
    -0.78
     medi
    -0.77
    ãĥ¼ãĥĨãĤ£
    -0.68
     spontaneous
    -0.68
    bernatorial
    -0.68
    awaru
    -0.67
     lender
    -0.67
    urated
    -0.66
    POSITIVE LOGITS
    dies
    1.41
    dy
    1.32
    hani
    1.06
    Topic
    1.03
    Row
    0.96
    row
    0.93
    away
    0.92
    leys
    0.89
    Mania
    0.88
    ley
    0.86
    Activations Density 0.009%

    No Known Activations