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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. 7-RES-JB
    11. 3962
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    Explanations

    mentions of the name "Reilly" with varying levels of activation, likely focusing on a specific person or character named Reilly across different contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Reilly" and its variations in contexts related to media or discussions

    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
    inations
    -0.72
    ku
    -0.72
    rely
    -0.70
    falls
    -0.63
    rious
    -0.62
     Malays
    -0.59
     Cogn
    -0.59
    estones
    -0.59
    heon
    -0.58
    effic
    -0.58
    POSITIVE LOGITS
    Reilly
    0.87
     Factor
    0.83
    witz
    0.80
    quist
    0.76
     Reilly
    0.72
    igon
    0.69
    shire
    0.69
    backer
    0.69
    skirts
    0.68
    acht
    0.68
    Activations Density 0.042%

    No Known Activations