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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. 5560
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    Explanations

    information related to recipe preparation times

    oai_token-act-pair · gpt-3.5-turbo

    cooking and preparation times in a recipe

    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
     metab
    -0.72
     crypt
    -0.72
     xen
    -0.70
     skulls
    -0.68
     dynam
    -0.66
    76561
    -0.65
     lig
    -0.65
     loudspe
    -0.64
     graves
    -0.64
     territorial
    -0.63
    POSITIVE LOGITS
     Recipe
    0.93
     Course
    0.90
     Ingredients
    0.87
     Cook
    0.85
     Cooking
    0.81
    Cook
    0.79
     Prep
    0.78
    Assembly
    0.75
    Course
    0.74
     mins
    0.72
    Activations Density 0.047%

    No Known Activations