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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. 0-RES-JB
    11. 6164
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    Explanations

    words related to beverages, specifically drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to drinks and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Revision
    -0.65
    KC
    -0.65
    oche
    -0.64
    post
    -0.64
    Mesh
    -0.64
    detail
    -0.64
    wr
    -0.63
    onet
    -0.63
     Kinnikuman
    -0.62
     pivot
    -0.62
    POSITIVE LOGITS
     drinks
    3.90
     beverages
    2.54
     drink
    2.49
     cocktails
    2.18
     Drink
    1.99
     beverage
    1.96
     drank
    1.90
     beers
    1.88
     drinkers
    1.76
     snacks
    1.71
    Activations Density 0.019%

    No Known Activations