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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. 7-RES-JB
    6. 17433
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    Explanations

    animals

    oai_token-act-pair · gpt-3.5-turbo

    references to animals and creatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reps
    -0.76
    Effective
    -0.73
     independents
    -0.72
     Policies
    -0.71
    )=(
    -0.70
     Administ
    -0.68
     Publishers
    -0.68
    ettings
    -0.68
    uries
    -0.67
     Consumers
    -0.67
    POSITIVE LOGITS
     carc
    1.14
    frog
    1.11
    fish
    1.08
    tailed
    1.03
     mascot
    1.02
     beetle
    1.01
     pup
    0.98
     species
    0.95
    ishly
    0.92
     frog
    0.91
    Activations Density 0.269%

    No Known Activations