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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. 8-RES-JB
    11. 12873
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    Explanations

    words related to beverages like tea, coffee, wine, and champagne

    oai_token-act-pair · gpt-3.5-turbo

    phrases about consuming beverages, particularly tea and coffee

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Developer
    -0.78
    abilities
    -0.75
    isodes
    -0.71
    chool
    -0.70
    Reviewer
    -0.69
    ĸļ
    -0.68
    yrs
    -0.66
    notations
    -0.65
    ibrary
    -0.65
    peer
    -0.63
    POSITIVE LOGITS
     wine
    0.90
     champagne
    0.90
     gum
    0.89
     soda
    0.89
    milo
    0.87
     dried
    0.87
     tuna
    0.85
     whisky
    0.85
     coffee
    0.85
     beer
    0.85
    Activations Density 0.100%

    No Known Activations