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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. 7-RES-JB
    11. 19033
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    INDEX
    Explanations

    mentions of someone's early life and education

    oai_token-act-pair · gpt-3.5-turbo

    references to early life and education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.77
    eday
    -0.72
    driving
    -0.70
    equal
    -0.66
    rade
    -0.66
    plet
    -0.63
    rir
    -0.61
    mast
    -0.61
    forth
    -0.61
    DJ
    -0.60
    POSITIVE LOGITS
     Overview
    1.27
     Differences
    1.13
     Edit
    1.10
     Background
    1.09
     Definitions
    1.08
     Summary
    1.07
     References
    1.06
     Details
    1.02
     Requirements
    1.00
     Structure
    0.98
    Activations Density 0.310%

    No Known Activations