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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. 3-RES-JB
    11. 12591
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    INDEX
    Explanations

    mentions of global events, championships, and community achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to "world" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.97
    EStream
    -0.89
    ients
    -0.81
    edin
    -0.80
    WARE
    -0.77
    aturday
    -0.77
     actionGroup
    -0.75
    irez
    -0.75
    urations
    -0.75
    ippi
    -0.74
    POSITIVE LOGITS
    wide
    0.85
     premiere
    0.85
     renown
    0.77
     wide
    0.74
     championship
    0.74
     heavyweight
    0.74
    liness
    0.71
     championships
    0.70
    icz
    0.68
     renowned
    0.68
    Activations Density 0.062%

    No Known Activations