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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. 3-RES-JB
    11. 166
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    Explanations

    descriptions related to the flavors and ingredients of beverages, particularly alcoholic ones like beer and whiskey

    oai_token-act-pair · gpt-3.5-turbo

    terms related to beer characteristics and flavors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dod
    -0.75
    credit
    -0.68
    LOS
    -0.67
    SIGN
    -0.67
     credential
    -0.66
    NetMessage
    -0.65
     pedestrian
    -0.64
     NFC
    -0.64
     cler
    -0.64
     Dodgers
    -0.63
    POSITIVE LOGITS
     blends
    1.09
     blend
    0.92
    ixture
    0.91
     batches
    0.88
     flav
    0.86
     tastes
    0.86
     strains
    0.84
     ABV
    0.84
     aroma
    0.84
     mixes
    0.84
    Activations Density 0.219%

    No Known Activations