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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to the football club "Tottenham Hotspur"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Tottenham Hotspur football club

    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
    carry
    -0.69
    sbm
    -0.67
    xon
    -0.66
     Wiley
    -0.66
     cockpit
    -0.66
    rehensive
    -0.64
    osed
    -0.64
    lly
    -0.64
    llers
    -0.64
    isky
    -0.64
    POSITIVE LOGITS
     Hots
    1.95
    ottenham
    1.00
     Tottenham
    0.98
     Spurs
    0.95
    ieth
    0.88
     unden
    0.83
    rament
    0.81
    fall
    0.79
    icket
    0.77
    bledon
    0.73
    Activations Density 0.009%

    No Known Activations