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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
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    Explanations

    specific types of alcoholic beverages, focusing on bourbon and whiskey

    oai_token-act-pair · gpt-3.5-turbo

    references to types of alcoholic beverages, particularly whiskey and bourbon

    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
     Proced
    -0.77
     Ellison
    -0.74
    Seg
    -0.73
    âī
    -0.73
    MET
    -0.70
    ulatory
    -0.69
     Mesh
    -0.69
     ped
    -0.69
    mun
    -0.69
    cept
    -0.68
    POSITIVE LOGITS
     whiskey
    3.30
     bourbon
    3.16
     whisky
    2.93
     vodka
    2.73
     Bourbon
    2.46
     Scotch
    2.41
    odka
    2.15
     booze
    2.14
     ABV
    2.03
     gin
    1.92
    Activations Density 0.048%

    No Known Activations