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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. 18211
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    Explanations

    single capitalized words or abbreviations in the middle of sequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical or statistical data

    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
     Mechdragon
    -0.78
    iton
    -0.75
    emonic
    -0.73
    Ĥ¬
    -0.71
     Binary
    -0.70
     Stellar
    -0.61
    omics
    -0.60
    BLIC
    -0.60
     veter
    -0.60
    EStream
    -0.59
    POSITIVE LOGITS
     ',
    0.96
    pictured
    0.69
     '.
    0.69
     '[
    0.69
    '."
    0.67
    ',
    0.65
    azel
    0.65
    ',"
    0.64
    yre
    0.64
    England
    0.64
    Activations Density 0.088%

    No Known Activations