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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. 12-RES-JB
    11. 3846
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    Explanations

    code snippets

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    programming-related or code syntax elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     metic
    -0.88
     oun
    -0.73
     Saur
    -0.72
     Tud
    -0.70
     Dign
    -0.69
     citiz
    -0.69
     accomp
    -0.69
     Apprentice
    -0.69
     laun
    -0.68
     Jericho
    -0.68
    POSITIVE LOGITS
    format
    1.46
    options
    1.44
    output
    1.42
    message
    1.41
    execute
    1.41
    delete
    1.41
    description
    1.40
    error
    1.40
    submit
    1.40
    debug
    1.38
    Activations Density 0.224%

    No Known Activations