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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. 11-RES-JB
    11. 12020
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    INDEX
    Explanations

    patterns and trends in data or behavior

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes and patterns in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endars
    -0.72
    itives
    -0.71
     expend
    -0.69
     WARRANT
    -0.67
    DERR
    -0.64
    ITNESS
    -0.63
     LIMITED
    -0.63
    aband
    -0.63
     Ended
    -0.63
     Expend
    -0.62
    POSITIVE LOGITS
     pattern
    1.10
     unfolding
    1.10
     occurring
    1.05
     endemic
    1.05
     whereby
    1.05
    pattern
    1.04
     perv
    1.00
     manifested
    1.00
     recurring
    0.99
     persists
    0.98
    Activations Density 0.279%

    No Known Activations