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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
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    Explanations

    mentions of ethanol-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to ethanol and its related concepts

    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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    Negative Logits
    creen
    -0.76
    assetsadobe
    -0.74
    erial
    -0.71
     Lumpur
    -0.70
    ideshow
    -0.69
    ijk
    -0.67
    eco
    -0.66
    yss
    -0.63
    ecast
    -0.63
     pains
    -0.62
    POSITIVE LOGITS
    urdue
    0.84
    WD
    0.79
    iors
    0.75
    aterasu
    0.71
    ulia
    0.70
    apters
    0.70
    ICAN
    0.69
    quickShipAvailable
    0.68
    BLIC
    0.68
     Beir
    0.68
    Activations Density 0.031%

    No Known Activations