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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. 4-RES-JB
    11. 2652
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    Explanations

    technical terms related to events and data processing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sburgh
    -0.71
    ghan
    -0.70
    aundering
    -0.70
    artisan
    -0.69
    geon
    -0.68
     Haram
    -0.66
    creen
    -0.66
    zzy
    -0.64
    grown
    -0.64
     holiest
    -0.63
    POSITIVE LOGITS
    uate
    0.96
    ually
    0.92
    Args
    0.89
    uating
    0.87
    ctrl
    0.85
    uates
    0.80
    ual
    0.79
     EVENT
    0.77
    Em
    0.77
    uated
    0.76
    Activations Density 0.022%

    No Known Activations