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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. 7161
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    Explanations

    various food-related items, ingredients, and dishes

    oai_token-act-pair · gpt-3.5-turbo

    specific food items and ingredients

    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
    76561
    -0.84
    actionDate
    -0.75
    PsyNetMessage
    -0.69
    cipled
    -0.68
     Applicant
    -0.66
    ãĥ¯ãĥ³
    -0.64
    VIDIA
    -0.62
    YN
    -0.61
    ulative
    -0.61
    quickShipAvailable
    -0.61
    POSITIVE LOGITS
    worm
    0.97
    worms
    0.88
    ensis
    0.87
     jelly
    0.83
     recipe
    0.79
    chery
    0.78
     flakes
    0.75
     soup
    0.74
    owder
    0.74
    chlor
    0.73
    Activations Density 0.363%

    No Known Activations