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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. 6-RES-JB
    11. 17177
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    Explanations

    mentions of people enjoying or interacting with food

    oai_token-act-pair · gpt-3.5-turbo

    words related to food, particularly types of cuisine or dishes

    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
    enegger
    -0.84
    ingen
    -0.78
    ness
    -0.72
    dale
    -0.71
    endon
    -0.70
    sung
    -0.69
    shire
    -0.69
    INGTON
    -0.67
    é¾įå
    -0.67
    iston
    -0.67
    POSITIVE LOGITS
    chnology
    1.12
    rers
    0.92
    llular
    0.84
    anu
    0.70
     nucleus
    0.70
    rete
    0.69
    xus
    0.69
    rer
    0.66
    lier
    0.66
    ctic
    0.64
    Activations Density 0.081%

    No Known Activations