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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. 15571
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    Explanations

    mentions of actions being done involuntarily or under pressure

    oai_token-act-pair · gpt-3.5-turbo

    instances of being compelled or coerced into actions

    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
    vironment
    -0.81
    ership
    -0.80
    issance
    -0.73
    mbuds
    -0.68
    amara
    -0.66
    awks
    -0.65
    aghd
    -0.64
    ergy
    -0.63
    razen
    -0.62
     Excellence
    -0.62
    POSITIVE LOGITS
     overtime
    0.82
     laborers
    0.80
    otom
    0.79
    untarily
    0.73
     cooker
    0.73
     aback
    0.72
     shut
    0.69
     labou
    0.69
    ierrez
    0.68
     confront
    0.68
    Activations Density 0.031%

    No Known Activations