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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. 4-RES-JB
    11. 16548
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities of cooking ingredients

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

    No Comments

    Negative Logits
    hement
    -0.76
     Samar
    -0.75
    imus
    -0.74
     territ
    -0.71
     answ
    -0.71
     fielded
    -0.70
     advers
    -0.70
     experien
    -0.70
     estranged
    -0.68
     evidenced
    -0.68
    POSITIVE LOGITS
    Ingredients
    1.23
    Optional
    0.95
    Recipe
    0.94
    ½
    0.93
    Amount
    0.88
    Required
    0.87
    Instruct
    0.87
    Tips
    0.86
    protein
    0.86
    Measure
    0.84
    Activations Density 0.109%

    No Known Activations