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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. 9606
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    INDEX
    Explanations

    words related to followers, listeners, supporters, and students

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or audiences associated with a leader or figure

    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
    cer
    -0.74
     Thing
    -0.63
    aton
    -0.61
     Kov
    -0.58
     Obst
    -0.56
    otherapy
    -0.56
    uve
    -0.56
    wcs
    -0.56
    aeper
    -0.55
    pour
    -0.55
    POSITIVE LOGITS
    hip
    1.11
     selves
    1.09
    folk
    1.05
    hips
    1.00
     counterparts
    0.97
    ervative
    0.95
    mates
    0.95
    mith
    0.95
    '
    0.93
    heet
    0.93
    Activations Density 0.180%

    No Known Activations