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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. 0-RES-JB
    11. 19968
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    Explanations

    distances expressed in kilometers

    oai_token-act-pair · gpt-3.5-turbo

    distances measured in kilometers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     revol
    -0.73
     Sears
    -0.72
     sweats
    -0.71
     Scare
    -0.69
     Harvey
    -0.68
     savior
    -0.68
     delinqu
    -0.62
     div
    -0.61
     Semin
    -0.61
     stool
    -0.61
    POSITIVE LOGITS
    km
    3.99
     km
    2.71
     kilometres
    2.69
     kilometers
    2.30
    kil
    1.95
     kilomet
    1.94
     miles
    1.68
    kg
    1.61
    mile
    1.60
    cm
    1.44
    Activations Density 0.012%

    No Known Activations