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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. 10-RES-JB
    11. 24474
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    Explanations

    keywords related to different types of alcoholic drinks, such as bourbon, rye, whiskey, and vodka

    oai_token-act-pair · gpt-3.5-turbo

    terms related to different types of alcoholic beverages, specifically whiskey and bourbon

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ding
    -0.81
    ularity
    -0.77
     Submission
    -0.72
     Parenthood
    -0.68
    ospace
    -0.68
    lez
    -0.67
    lihood
    -0.67
     Cyborg
    -0.66
    PsyNetMessage
    -0.66
     Rohing
    -0.65
    POSITIVE LOGITS
     whiskey
    1.21
     whisky
    1.18
     Whis
    1.08
     tasting
    1.02
     distilled
    1.00
     liquor
    0.99
    illery
    0.98
     brewed
    0.95
    wine
    0.94
     Barrel
    0.92
    Activations Density 0.052%

    No Known Activations