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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. 12-RES-JB
    6. 2442
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    INDEX
    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of words related to personal names and places

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     projecting
    -0.63
     replacing
    -0.59
     displaced
    -0.57
     Mechdragon
    -0.54
     blazing
    -0.54
     rooting
    -0.53
     adopting
    -0.52
     forth
    -0.52
     litter
    -0.52
     ext
    -0.52
    POSITIVE LOGITS
    ccording
    0.85
    zona
    0.84
    haar
    0.84
    isure
    0.83
    vantage
    0.80
    ©¶æ¥µ
    0.78
    hurst
    0.78
    dullah
    0.75
    anches
    0.75
    hetics
    0.72
    Activations Density 0.120%

    No Known Activations