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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. 11-RES-JB
    11. 4190
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    Explanations

    references to the Cleveland Browns football team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Cleveland sports teams, particularly the Browns and Cavaliers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ging
    -0.77
    st
    -0.75
    manship
    -0.74
    ledged
    -0.73
     Tasman
    -0.71
    ylum
    -0.71
    swing
    -0.70
    ical
    -0.69
    sent
    -0.68
    sten
    -0.67
    POSITIVE LOGITS
     Cavaliers
    1.45
     Browns
    1.33
     Clinic
    1.31
     Indians
    1.10
     Heights
    1.03
     Plain
    0.98
     Cleveland
    0.96
     Cavs
    0.93
     Hopkins
    0.92
     Akron
    0.82
    Activations Density 0.039%

    No Known Activations