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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. 11873
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    Explanations

    ingredient quantities and food items

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and measurements for recipes involving liquid and solid food items

    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
    dq
    -0.73
     fences
    -0.73
    ¥µ
    -0.69
     exhibitions
    -0.68
    ecause
    -0.66
    qv
    -0.65
     galleries
    -0.65
    idays
    -0.63
    cause
    -0.61
    assetsadobe
    -0.59
    POSITIVE LOGITS
     Instructions
    0.89
    poons
    0.88
     diced
    0.84
     finely
    0.79
     minced
    0.78
     pinch
    0.78
     extract
    0.77
     Directions
    0.77
    Ingredients
    0.75
     scramble
    0.74
    Activations Density 0.132%

    No Known Activations