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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. 6-RES-JB
    6. 12444
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    Explanations

    instances of meetings or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings and formal gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     patiently
    -0.82
     hint
    -0.81
     somew
    -0.72
    Ħ¢
    -0.71
     grate
    -0.70
    qus
    -0.69
     harbor
    -0.69
     flaw
    -0.69
     harbour
    -0.68
    ean
    -0.67
    POSITIVE LOGITS
     Congress
    0.80
    ampions
    0.77
     Presidents
    0.73
    hemat
    0.72
    interstitial
    0.71
     congress
    0.71
     Eid
    0.70
    ederal
    0.68
     Conference
    0.67
    meric
    0.67
    Activations Density 0.113%

    No Known Activations