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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. 9-RES-JB
    6. 9322
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    Explanations

    words related to influence, impact, or change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of shaping or influencing various aspects of society or personal experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unts
    -0.72
     Mub
    -0.65
    ciation
    -0.64
    ysis
    -0.60
    employed
    -0.59
     scrape
    -0.58
     istg
    -0.58
    blers
    -0.57
     typew
    -0.57
    itars
    -0.56
    POSITIVE LOGITS
     perceptions
    0.91
    glers
    0.87
     shaping
    0.78
     destiny
    0.75
    ãĥį
    0.71
     attitudes
    0.71
     traject
    0.70
    eering
    0.69
     into
    0.69
    insula
    0.69
    Activations Density 0.034%

    No Known Activations