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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. 10-RES-JB
    11. 9873
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    Explanations

    references to the football team "San Francisco 49ers"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the San Francisco 49ers football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.73
    mble
    -0.72
    odynam
    -0.66
    urus
    -0.62
     Scotia
    -0.60
     circumst
    -0.60
     displ
    -0.58
    cius
    -0.55
     Zah
    -0.55
    andise
    -0.55
    POSITIVE LOGITS
    ers
    1.37
    ership
    1.14
    ERS
    1.11
    ¢
    0.94
    er
    0.93
    ing
    0.93
    erk
    0.91
     cents
    0.91
    %"
    0.89
    00
    0.89
    Activations Density 0.058%

    No Known Activations