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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. 6-RES-JB
    6. 23478
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    Explanations

    mentions of names that start with "Ke" followed by a variety of letters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.80
    channelAvailability
    -0.74
    ashtra
    -0.73
    catentry
    -0.68
     illeg
    -0.66
     smuggled
    -0.63
     DRAG
    -0.60
     specificity
    -0.60
     Lucius
    -0.60
    SHIP
    -0.60
    POSITIVE LOGITS
    bye
    0.78
    aston
    0.77
    chuk
    0.75
    pie
    0.74
    ury
    0.72
    warm
    0.71
    lein
    0.70
    lyn
    0.69
    uke
    0.68
    kens
    0.67
    Activations Density 0.060%

    No Known Activations