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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. 12-RES-JB
    11. 2340
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    INDEX
    Explanations

    references to sports events and statistics

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of significant events or actions related to consequences or outcomes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BOOK
    -0.77
    ioxide
    -0.73
    anium
    -0.73
    iseum
    -0.72
    MRI
    -0.71
    avez
    -0.69
    VERTISEMENT
    -0.69
     Tycoon
    -0.69
    oubt
    -0.69
    orage
    -0.68
    POSITIVE LOGITS
     issuing
    0.99
     posting
    0.98
     albeit
    0.98
     deploying
    0.97
     slashing
    0.96
     launching
    0.95
     spawning
    0.94
     releasing
    0.94
     opting
    0.93
     culminating
    0.93
    Activations Density 0.305%

    No Known Activations