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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. 11-RES-JB
    6. 19491
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    Explanations

    words related to intense physical or emotional actions, such as crouching, screeching, or lurking

    oai_token-act-pair · gpt-3.5-turbo

    words related to crouching and screeching or lurking actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lutheran
    -0.63
    ORT
    -0.62
    orb
    -0.61
    IELD
    -0.59
     NRS
    -0.59
     Equality
    -0.59
     Jem
    -0.55
     forgiven
    -0.54
    regn
    -0.54
     Aust
    -0.54
    POSITIVE LOGITS
    ches
    2.02
    ched
    1.95
    ching
    1.92
    chers
    1.73
    cher
    1.61
    chy
    1.52
    ch
    1.51
    kered
    1.35
    chery
    1.31
    che
    1.22
    Activations Density 0.133%

    No Known Activations