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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. 10-RES-JB
    11. 4497
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    numerical quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redditor
    -0.74
    actionDate
    -0.74
    potion
    -0.73
     Played
    -0.68
    someone
    -0.67
    $$
    -0.66
    uck
    -0.64
    history
    -0.64
    ifice
    -0.63
    vantage
    -0.63
    POSITIVE LOGITS
     additional
    1.11
     dozen
    1.09
     tiers
    1.07
     hundred
    1.03
     separate
    1.03
     phases
    1.02
     kinds
    1.00
     versions
    1.00
     consecutive
    0.98
    teen
    0.98
    Activations Density 0.171%

    No Known Activations