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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. 15747
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    Explanations

    Instances where the word "score" appears

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring and points in competitive contexts

    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
     detachment
    -0.68
     withdrawing
    -0.62
     suitcase
    -0.61
     Spice
    -0.59
     mole
    -0.59
    agan
    -0.59
     Parenthood
    -0.57
     bust
    -0.57
     Hyde
    -0.57
     Boris
    -0.56
    POSITIVE LOGITS
    card
    1.43
    cards
    1.37
    keeper
    1.04
    keepers
    1.04
    rs
    1.02
    stre
    1.00
    keeping
    1.00
    ific
    0.99
    heet
    0.96
    emi
    0.86
    Activations Density 0.038%

    No Known Activations