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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    references to the soccer team "Tottenham."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the football club Tottenham

    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
    xon
    -0.87
     Franken
    -0.74
    ysis
    -0.74
    cision
    -0.73
    ppo
    -0.72
    lly
    -0.71
    ebin
    -0.67
    Downloadha
    -0.65
    ORPG
    -0.65
    phe
    -0.65
    POSITIVE LOGITS
     Hots
    2.09
    rament
    0.99
     Tottenham
    0.93
    ottenham
    0.93
    ieth
    0.89
     Rapids
    0.88
    bledon
    0.79
    ites
    0.77
     Spurs
    0.76
    sburg
    0.75
    Activations Density 0.006%

    No Known Activations