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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. 2220
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    Explanations

    technological terms/code fragments mixed with emotional expressions

    oai_token-act-pair · gpt-3.5-turbo

    special codes or identifiers

    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
    ifice
    -0.68
     mater
    -0.67
    lain
    -0.67
    âĹ¼
    -0.64
     Alchemist
    -0.62
     dece
    -0.61
    hin
    -0.61
    ask
    -0.61
     Calder
    -0.60
     Sapphire
    -0.60
    POSITIVE LOGITS
    letcher
    1.11
    ornia
    1.11
    ocused
    1.02
    rost
    0.99
    rozen
    0.98
    ruits
    0.93
    actory
    0.92
    ISH
    0.89
    ellow
    0.89
    erguson
    0.88
    Activations Density 0.151%

    No Known Activations