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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. 1-RES-JB
    11. 8997
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    INDEX
    Explanations

    mentions of character development or interactions in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to characters in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liga
    -0.73
    hem
    -0.68
    IED
    -0.66
    uries
    -0.64
     Lars
    -0.62
    orld
    -0.61
    tics
    -0.61
    olen
    -0.60
    shut
    -0.60
    hemy
    -0.59
    POSITIVE LOGITS
    acters
    1.33
     charact
    1.20
     character
    1.04
     characters
    1.00
    istics
    0.99
    izations
    0.92
    character
    0.90
    izes
    0.89
    istically
    0.87
    Character
    0.86
    Activations Density 0.016%

    No Known Activations