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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. 11265
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    INDEX
    Explanations

    details related to sports teams and grades

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and their performance metrics

    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
     snipp
    -0.79
     enhancement
    -0.72
    andowski
    -0.71
     embodiments
    -0.71
     amen
    -0.69
     disappeared
    -0.69
     disappear
    -0.68
    heid
    -0.66
     paed
    -0.66
     pandemonium
    -0.66
    POSITIVE LOGITS
     Chiefs
    0.98
     Ramsey
    0.76
    McC
    0.75
    ometown
    0.74
     Bengals
    0.73
    advertising
    0.73
    Team
    0.72
    Notable
    0.72
     Colts
    0.72
    football
    0.70
    Activations Density 0.453%

    No Known Activations