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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. 14357
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    Explanations

    information related to yeast, particularly in the context of fermentation and brewing processes

    oai_token-act-pair · gpt-3.5-turbo

    references to yeast and fermentation processes

    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
    vertisements
    -0.90
    vertis
    -0.79
    Guard
    -0.75
    inez
    -0.75
    engu
    -0.72
    esson
    -0.71
    onga
    -0.71
    oru
    -0.70
    awi
    -0.70
     Lumpur
    -0.69
    POSITIVE LOGITS
     yeast
    1.04
     fermentation
    1.01
    warm
    0.85
     infections
    0.84
     ferment
    0.84
     nutrient
    0.78
     fungus
    0.78
     fuzz
    0.77
     sediment
    0.76
     fermented
    0.75
    Activations Density 0.011%

    No Known Activations