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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
    11. 15616
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    Explanations

    mentions of wine

    oai_token-act-pair · gpt-3.5-turbo

    references to wine

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aneous
    -0.73
    aneously
    -0.73
    ordinate
    -0.70
    urtle
    -0.70
    urat
    -0.70
    DonaldTrump
    -0.69
    vernment
    -0.66
    idable
    -0.65
    Tur
    -0.65
    ulation
    -0.64
    POSITIVE LOGITS
     tasting
    1.20
     wine
    1.15
     vinegar
    1.15
    wine
    1.10
     grapes
    1.06
     tast
    1.01
     cellar
    0.94
     wines
    0.93
     Wine
    0.92
     vine
    0.91
    Activations Density 0.009%

    No Known Activations