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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. 7-RES-JB
    11. 17145
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    Explanations

    specific abbreviations related to a sports organization

    oai_token-act-pair · gpt-3.5-turbo

    references to "BC" designations, likely indicating a specific championship or tournament context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mberg
    -0.81
     Grayson
    -0.68
    Äĩ
    -0.67
     discipline
    -0.65
    istically
    -0.62
    lessly
    -0.62
     Verb
    -0.61
    strument
    -0.61
    agine
    -0.61
    icit
    -0.60
    POSITIVE LOGITS
    een
    0.95
    oin
    0.89
    razy
    0.82
    CI
    0.81
    ombat
    0.80
    ounty
    0.79
    arbon
    0.79
    eon
    0.77
    WER
    0.74
    arded
    0.74
    Activations Density 0.044%

    No Known Activations