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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2397
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    Explanations

    names and words with unusual characters

    oai_token-act-pair · gpt-3.5-turbo

    elements related to statistical or numerical references, particularly in the context of music or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Hamilton
    -1.08
    Houston
    -0.94
     Metatron
    -0.89
     Harvey
    -0.88
     Hamilton
    -0.86
     Irving
    -0.84
    Texas
    -0.80
     Holden
    -0.78
    CLASSIFIED
    -0.78
    Harris
    -0.77
    POSITIVE LOGITS
    Äĩ
    2.29
    Äį
    2.12
     Sloven
    1.89
    Å¡
    1.86
    Ä
    1.74
     Ä
    1.72
     Croatian
    1.70
     Serbia
    1.68
     Serbian
    1.66
     Croatia
    1.64
    Activations Density 0.195%

    No Known Activations