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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. 20654
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    Explanations

    references to organized gatherings or events

    oai_token-act-pair · gpt-3.5-turbo

    references to gatherings or meetings

    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
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    Negative Logits
     Argon
    -0.65
     Kraken
    -0.65
    nikov
    -0.64
    WD
    -0.63
     vengeance
    -0.62
    maxwell
    -0.61
    tera
    -0.61
    Wiki
    -0.61
    isSpecialOrderable
    -0.61
     Redemption
    -0.59
    POSITIVE LOGITS
    iences
    1.20
     conven
    1.06
    ing
    1.03
    iency
    0.94
    itures
    0.92
    ivities
    0.91
    ivity
    0.90
    ificantly
    0.89
    eering
    0.88
    ility
    0.87
    Activations Density 0.011%

    No Known Activations