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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. 8-RES-JB
    6. 3782
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    Explanations

    verbs related to legal actions being taken

    oai_token-act-pair · gpt-3.5-turbo

    action verbs related to legal or official proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.72
     wont
    -0.59
    zo
    -0.59
    igon
    -0.57
     tc
    -0.54
     UNIVERS
    -0.54
     ·
    -0.53
    aceae
    -0.53
     someday
    -0.53
    .}
    -0.53
    POSITIVE LOGITS
    phas
    0.79
    kered
    0.77
    igated
    0.68
    gered
    0.66
    orses
    0.66
     aside
    0.66
     tentative
    0.65
    lled
    0.65
    backs
    0.64
    tered
    0.64
    Activations Density 0.237%

    No Known Activations