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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. 3-RES-JB
    11. 3145
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    INDEX
    Explanations

    specific references to a person

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in legal matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    大
    -0.68
    pb
    -0.65
    interrupted
    -0.64
    argon
    -0.63
     Bloody
    -0.62
    null
    -0.59
    YING
    -0.59
     contiguous
    -0.58
     importing
    -0.58
     exporting
    -0.57
    POSITIVE LOGITS
    maxwell
    0.73
    arde
    0.70
     Volunte
    0.70
    itures
    0.70
     ................
    0.67
     ........
    0.66
    roller
    0.63
     Facility
    0.60
     ..............
    0.60
     Mines
    0.59
    Activations Density 0.000%

    No Known Activations