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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. 2620
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    Explanations

    mentions of locations or organizations in news articles

    oai_token-act-pair · gpt-3.5-turbo

    colons and related punctuation that indicate sections or topics in a document

    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
     tremend
    -0.79
     recip
    -0.73
     upstairs
    -0.71
     rele
    -0.69
     denomin
    -0.69
    rex
    -0.67
    imore
    -0.66
     mirrors
    -0.66
    halla
    -0.65
     downstairs
    -0.65
    POSITIVE LOGITS
     Amid
    1.12
     Thousands
    1.07
     Yesterday
    1.07
     Following
    1.02
     Dozens
    1.00
     Hundreds
    0.99
     Despite
    0.97
     Ahead
    0.96
     Researchers
    0.95
     Earlier
    0.95
    Activations Density 0.050%

    No Known Activations