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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. 1-RES-JB
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    Explanations

    terms related to the process of fermentation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fermentation processes and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.86
     Olympus
    -0.81
    chy
    -0.74
    eye
    -0.67
    olves
    -0.67
    ĪĴ
    -0.67
     sights
    -0.66
    oho
    -0.65
     masc
    -0.65
    dies
    -0.65
    POSITIVE LOGITS
     fermentation
    1.05
     ferment
    1.03
     fermented
    0.93
    ÃĽÃĽ
    0.86
    xual
    0.83
    dinand
    0.76
    terness
    0.76
    Temp
    0.75
    âĸĪâĸĪ
    0.75
    imately
    0.74
    Activations Density 0.028%

    No Known Activations