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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. 16003
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    Explanations

    references to a specific person named "Mohamud"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Moh

    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
    istics
    -0.94
    istically
    -0.89
     laps
    -0.76
     balloons
    -0.73
    ãĥ¯
    -0.71
    istical
    -0.68
    chnology
    -0.67
    xxxxxxxx
    -0.64
    ãĥīãĥ©
    -0.64
    ãĥ¼ãĥĨ
    -0.64
    POSITIVE LOGITS
    awk
    1.46
    awks
    1.28
    sin
    1.04
    ammad
    1.00
    doms
    0.99
    renheit
    0.97
    ammed
    0.95
    atche
    0.94
    abit
    0.94
    undai
    0.91
    Activations Density 0.035%

    No Known Activations