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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. 7-RES-JB
    6. 22225
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    Explanations

    words related to spatial relationships or physical locations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific and geopolitical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.95
    tower
    -0.93
    lessly
    -0.93
    wright
    -0.90
    cham
    -0.88
    esty
    -0.86
    kins
    -0.86
    holes
    -0.85
    boarding
    -0.84
    hole
    -0.83
    POSITIVE LOGITS
    ities
    1.07
    ity
    0.96
    ized
    0.94
     significance
    0.92
     impact
    0.90
     manifestations
    0.87
     imaging
    0.84
     anomalies
    0.84
     disturbances
    0.84
     ramifications
    0.83
    Activations Density 0.075%

    No Known Activations