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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. 9-RES-JB
    11. 23733
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    Explanations

    mentions of athletes' names and sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.79
     Lauder
    -0.78
    RESULTS
    -0.77
     Sabha
    -0.73
     IPM
    -0.71
    eries
    -0.70
    earch
    -0.69
    ournal
    -0.69
    sth
    -0.68
    owship
    -0.68
    POSITIVE LOGITS
    uchi
    0.77
    hammad
    0.75
    ogo
    0.74
     Jr
    0.73
    oglu
    0.71
     Muhammad
    0.71
    ji
    0.68
    ike
    0.67
    oku
    0.66
    ukong
    0.66
    Activations Density 0.293%

    No Known Activations