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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. 3-RES-JB
    11. 16679
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    Explanations

    measurements and ingredients in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    measurements for cooking ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Halls
    -0.92
    hall
    -0.72
    usky
    -0.71
     Coliseum
    -0.71
    otos
    -0.69
    banks
    -0.69
    apego
    -0.67
     skelet
    -0.67
    IGHTS
    -0.67
    scape
    -0.66
    POSITIVE LOGITS
     tsp
    1.00
     dab
    0.84
     teaspoons
    0.82
     tbsp
    0.81
    hered
    0.79
     teaspoon
    0.79
    bsp
    0.78
    arella
    0.76
     tablespoons
    0.72
    onso
    0.70
    Activations Density 0.006%

    No Known Activations