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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. 4995
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    Explanations

    references to myths or debunking myths

    oai_token-act-pair · gpt-3.5-turbo

    references to myths or mythical concepts

    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
    affer
    -0.77
    orld
    -0.75
    foreseen
    -0.75
    redd
    -0.70
    ricted
    -0.69
    gans
    -0.69
    perature
    -0.67
    ells
    -0.66
    Interstitial
    -0.65
     Seasons
    -0.65
    POSITIVE LOGITS
    Myth
    1.38
     Myth
    1.22
    icist
    1.16
     myth
    1.15
     myths
    0.97
     mythology
    0.88
    lore
    0.82
    mong
    0.78
    MY
    0.77
    ril
    0.76
    Activations Density 0.011%

    No Known Activations