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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. 2-RES-JB
    11. 2422
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    Explanations

    phrases related to fermentation and specific ingredients or processes used in the fermentation of food or beverages

    oai_token-act-pair · gpt-3.5-turbo

    vocabulary related to fermentation and food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yers
    -0.71
     Camer
    -0.71
    uminati
    -0.71
     Nikon
    -0.69
    gap
    -0.66
    sky
    -0.66
    ikarp
    -0.65
     cameras
    -0.65
    witz
    -0.64
    games
    -0.63
    POSITIVE LOGITS
     tasting
    1.02
     fermented
    1.01
     fermentation
    0.98
     beverages
    0.93
     ferment
    0.93
     flavorful
    0.90
     beverage
    0.90
     smelling
    0.88
     drinks
    0.85
     brewed
    0.80
    Activations Density 0.029%

    No Known Activations