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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. 8-RES-JB
    11. 10587
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    Explanations

    instructions related to cooking or food preparation

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.78
    ãĤ´
    -0.73
    ById
    -0.70
     tickets
    -0.67
    isphere
    -0.67
    éĢ
    -0.66
    ticket
    -0.66
     successors
    -0.65
    vernment
    -0.65
    ç·
    -0.63
    POSITIVE LOGITS
     cooled
    1.31
     pH
    1.27
     soak
    1.18
     fermentation
    1.17
     drying
    1.16
     temperature
    1.11
     dried
    1.10
     chilled
    1.09
     temperatures
    1.09
     dehyd
    1.08
    Activations Density 0.330%

    No Known Activations