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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. 1-RES-JB
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    INDEX
    Explanations

    names of famous athletes

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent athletes and their actions or statuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WIND
    -0.78
    awk
    -0.75
    Iron
    -0.69
    semble
    -0.68
     buffer
    -0.67
    awks
    -0.66
     Fork
    -0.65
    oard
    -0.64
    AST
    -0.64
     periphery
    -0.64
    POSITIVE LOGITS
     Messi
    1.28
     Ronaldo
    1.23
     Suarez
    0.90
    inho
    0.84
     Ney
    0.83
    rera
    0.79
    esque
    0.76
    deals
    0.74
    liga
    0.71
    oÄŁ
    0.71
    Activations Density 0.017%

    No Known Activations