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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. 6-RES-JB
    11. 17519
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    Explanations

    events or mentions of event-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to events and event-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ghan
    -0.78
    artisan
    -0.75
    sburgh
    -0.75
    nington
    -0.74
    anyon
    -0.73
    axter
    -0.72
    eco
    -0.71
    uckland
    -0.70
    zza
    -0.69
    aundering
    -0.69
    POSITIVE LOGITS
    ually
    1.02
    uate
    0.97
    uating
    0.96
    Args
    0.95
    uates
    0.92
    ual
    0.91
    uated
    0.90
     Horizon
    0.85
     horizon
    0.80
    ctrl
    0.79
    Activations Density 0.032%

    No Known Activations