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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    phrases related to the consumption of alcoholic beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking alcohol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eq
    -0.79
    elin
    -0.76
     Kinnikuman
    -0.74
    Transform
    -0.71
    Catalog
    -0.70
    debian
    -0.68
    sha
    -0.66
    Egypt
    -0.65
    orp
    -0.65
    Translation
    -0.64
    POSITIVE LOGITS
     drinking
    1.40
     drinkers
    1.18
    cohol
    1.18
     alcohol
    1.15
     beverage
    1.12
     beverages
    1.12
     Drinking
    1.07
     drink
    1.07
     drank
    1.05
     whiskey
    1.01
    Activations Density 0.009%

    No Known Activations