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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. 9-RES-JB
    11. 15663
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    Explanations

    actions related to food preparation

    oai_token-act-pair · gpt-3.5-turbo

    cooking processes and techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.85
    ician
    -0.75
    jab
    -0.73
    Ò
    -0.69
    ãĤ±
    -0.67
    cci
    -0.67
    {"
    -0.66
    ãĤ´
    -0.64
    awks
    -0.62
    rian
    -0.62
    POSITIVE LOGITS
     cooled
    1.26
     soak
    1.13
     dehyd
    1.10
     temperatures
    1.07
     chilled
    1.05
     fermentation
    1.04
     dried
    1.04
     drying
    1.04
     heated
    1.03
     temperature
    1.02
    Activations Density 0.241%

    No Known Activations