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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
    11. 21295
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    Explanations

    references to statistics in sports, particularly related to interceptions

    oai_token-act-pair · gpt-3.5-turbo

    references to interceptions in a sports context, particularly related to football or similar games

    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
    imb
    -0.85
    olds
    -0.71
    adders
    -0.71
    atten
    -0.70
    enny
    -0.68
    este
    -0.68
    utz
    -0.67
    uni
    -0.65
    travel
    -0.65
    prime
    -0.65
    POSITIVE LOGITS
     interception
    1.24
     interceptions
    1.24
     intercepted
    1.01
    ilage
    0.76
     Depth
    0.67
     cornerback
    0.67
     intercept
    0.66
    DERR
    0.65
    uracy
    0.65
     absor
    0.64
    Activations Density 0.007%

    No Known Activations