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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. 7-RES-JB
    11. 4828
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    Explanations

    cooking instructions and recipe steps

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to cooking and recipe preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.69
     interoper
    -0.67
    alloc
    -0.65
    amac
    -0.63
     Limbaugh
    -0.62
    ãĤ¼
    -0.61
    ospons
    -0.61
    ozo
    -0.60
    Site
    -0.60
    gling
    -0.60
    POSITIVE LOGITS
     mixture
    1.00
     yeast
    0.96
    Ingredients
    0.95
     boiling
    0.91
     cups
    0.91
     baking
    0.90
     chilled
    0.87
     Dough
    0.85
     almonds
    0.84
     ingredients
    0.84
    Activations Density 0.119%

    No Known Activations