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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. 1-RES-JB
    11. 21436
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    Explanations

    keywords related to a specific code or guideline

    oai_token-act-pair · gpt-3.5-turbo

    references to codes and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    strous
    -0.72
    igating
    -0.69
    iscopal
    -0.68
     resume
    -0.68
    igham
    -0.66
    iversal
    -0.66
    igation
    -0.66
    itch
    -0.66
    igious
    -0.66
    ntil
    -0.65
    POSITIVE LOGITS
     Code
    1.14
    Code
    1.08
     Codes
    1.03
    codes
    0.99
    code
    0.98
    otle
    0.98
     codes
    0.97
     code
    0.90
     snippet
    0.88
     CODE
    0.82
    Activations Density 0.010%

    No Known Activations