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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 19326
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    Explanations

    ingredients or dishes that include tomatoes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tomato" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.94
    rams
    -0.89
    trak
    -0.76
    efeated
    -0.75
    draw
    -0.74
    llers
    -0.74
    ledged
    -0.73
    ships
    -0.73
    mable
    -0.73
    nces
    -0.72
    POSITIVE LOGITS
     tomatoes
    1.09
     tomato
    1.01
    fruit
    0.91
    atoes
    0.90
    grass
    0.81
     juice
    0.81
     fruits
    0.81
     plant
    0.80
     Tomato
    0.79
     harvest
    0.78
    Activations Density 0.015%

    No Known Activations