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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. 10-RES-JB
    11. 12413
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    Explanations

    proper nouns or entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the," indicating a focus on definite articles or specific references in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.91
    enegger
    -0.87
    soDeliveryDate
    -0.87
    ipedia
    -0.83
    chwitz
    -0.82
    illion
    -0.80
    ãĤ¢ãĥ«
    -0.80
    Wikipedia
    -0.79
     âĢº
    -0.78
    EVA
    -0.78
    POSITIVE LOGITS
     visitors
    1.03
     remainder
    1.02
     score
    1.01
    Score
    0.99
     Spani
    0.98
     Hornets
    0.98
     victory
    0.97
     Wildcats
    0.97
     duo
    0.96
     Tigers
    0.96
    Activations Density 0.190%

    No Known Activations