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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. 12593
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    Explanations

    phrases related to sports, specifically football

    oai_token-act-pair · gpt-3.5-turbo

    references to football and its associated activities

    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
    FBI
    -0.93
     HHS
    -0.91
     counselor
    -0.85
     counselors
    -0.85
     tumor
    -0.83
    California
    -0.82
    colored
    -0.81
    behavior
    -0.81
     FDA
    -0.81
    aska
    -0.80
    POSITIVE LOGITS
     Premiership
    1.80
     Wembley
    1.77
     Newcastle
    1.68
     Liverpool
    1.67
     Anfield
    1.66
     Football
    1.63
     rugby
    1.61
     UEFA
    1.61
     Rugby
    1.60
     footballer
    1.58
    Activations Density 0.916%

    No Known Activations