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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. 8570
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    Explanations

    food-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to food and culinary terms

    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
    oulos
    -0.84
    mble
    -0.82
    ement
    -0.77
    ienced
    -0.74
    @@@@
    -0.72
    udence
    -0.70
    ude
    -0.68
    pta
    -0.67
    antage
    -0.66
    iment
    -0.65
    POSITIVE LOGITS
    tail
    1.08
    tails
    0.96
    wash
    0.95
    fish
    0.94
    tailed
    0.94
    boat
    0.94
    roots
    0.92
    walk
    0.92
    wings
    0.90
    sticks
    0.89
    Activations Density 0.272%

    No Known Activations