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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. 20144
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    Explanations

    keywords related to mythical creatures, specifically dragons

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dragons 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
    APD
    -0.77
    ablishment
    -0.76
    ierrez
    -0.75
     Geo
    -0.73
     Preferences
    -0.73
    Interstitial
    -0.72
    pson
    -0.72
     Territories
    -0.71
    FG
    -0.71
    ¼
    -0.70
    POSITIVE LOGITS
     dragons
    1.20
    flies
    1.07
     dragon
    0.97
    manship
    0.95
    layer
    0.89
    BuyableInstoreAndOnline
    0.87
    fly
    0.85
    agons
    0.83
    hawk
    0.82
     beasts
    0.82
    Activations Density 0.013%

    No Known Activations