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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 12757
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    INDEX
    Explanations

    mentions of gatherings or events involving a large number of people

    oai_token-act-pair · gpt-3.5-turbo

    references to large groups of individuals or populations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    inventoryQuantity
    -0.80
     sequels
    -0.70
    cknow
    -0.67
    Emer
    -0.65
    Mods
    -0.63
    ãĤ´ãĥ³
    -0.62
    phas
    -0.62
    ogenesis
    -0.62
    earchers
    -0.62
    rade
    -0.62
    POSITIVE LOGITS
     worldwide
    1.09
     nationwide
    0.97
     crammed
    0.95
     annually
    0.95
     statewide
    0.87
     enrolled
    0.86
     globally
    0.85
     tuned
    0.81
     polled
    0.81
     surveyed
    0.81
    Activations Density 0.125%

    No Known Activations