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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. 15706
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    Explanations

    words related to forceful actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    words related to forceful actions or changes

    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
    keeper
    -0.90
    Trust
    -0.73
    displayText
    -0.70
    andro
    -0.70
    externalActionCode
    -0.68
    azel
    -0.68
    keepers
    -0.67
    Occ
    -0.66
    osuke
    -0.63
    Hug
    -0.63
    POSITIVE LOGITS
    icularly
    0.84
    rolet
    0.84
    lishes
    0.82
    ments
    0.81
    ting
    0.79
    nesday
    0.78
     thrust
    0.77
    throw
    0.77
     spear
    0.73
    sonian
    0.73
    Activations Density 0.071%

    No Known Activations