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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. 4440
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    Explanations

    sentences related to scientific experiments and research

    oai_token-act-pair · gpt-3.5-turbo

    statements related to health research findings

    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
    inventoryQuantity
    -0.87
    minster
    -0.73
    canon
    -0.72
    EngineDebug
    -0.71
     farewell
    -0.70
    ËĪ
    -0.69
    soDeliveryDate
    -0.69
    iHUD
    -0.69
    eon
    -0.68
     deprecated
    -0.68
    POSITIVE LOGITS
    RESULTS
    1.40
     Results
    1.24
    Results
    1.19
     Participants
    1.09
    results
    0.99
     Subjects
    0.97
     Each
    0.96
    Particip
    0.93
     Volunteers
    0.93
     Researchers
    0.92
    Activations Density 0.255%

    No Known Activations