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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. 19642
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    INDEX
    Explanations

    instances where the outcome or consequence of a situation is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing results or outcomes

    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
    zan
    -0.79
    hma
    -0.71
     Passage
    -0.67
    nam
    -0.67
    tta
    -0.67
    anship
    -0.66
    mph
    -0.64
    mberg
    -0.64
    ffe
    -0.64
    agine
    -0.63
    POSITIVE LOGITS
     thereof
    0.82
     result
    0.76
    natureconservancy
    0.73
    iveness
    0.73
    result
    0.67
    results
    0.67
    ively
    0.66
    ivity
    0.66
    ãĥķãĤ©
    0.66
    ogeneity
    0.65
    Activations Density 0.036%

    No Known Activations