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

    mentions of the football club "Tottenham"

    oai_token-act-pair · gpt-3.5-turbo

    references to the football club Tottenham Hotspur

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    xon
    -0.83
    Downloadha
    -0.69
    aunder
    -0.68
    ORPG
    -0.67
     Franken
    -0.67
    cision
    -0.66
    76561
    -0.65
    lly
    -0.65
    eal
    -0.64
    ebin
    -0.62
    POSITIVE LOGITS
     Hots
    1.98
     Tottenham
    1.01
    rament
    1.00
    ottenham
    1.00
    ieth
    0.88
    bledon
    0.87
     Rapids
    0.85
     Spurs
    0.82
    sburg
    0.81
    liga
    0.79
    Activations Density 0.007%

    No Known Activations