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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. 7127
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    Explanations

    references to written or digital messages

    oai_token-act-pair · gpt-3.5-turbo
    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
    engeance
    -0.73
    itect
    -0.72
    abama
    -0.71
    ibl
    -0.71
     Sketch
    -0.70
    aughs
    -0.67
    itates
    -0.66
    pmwiki
    -0.66
    itals
    -0.64
    ilts
    -0.64
    POSITIVE LOGITS
     boards
    1.04
    board
    1.04
     messages
    0.98
    boards
    0.97
    boxes
    0.96
     sent
    0.95
     inbox
    0.92
     board
    0.89
     Boards
    0.88
    box
    0.87
    Activations Density 0.037%

    No Known Activations