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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. 24112
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    INDEX
    Explanations

    ingredients and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    specific cooking ingredients and their preparation details

    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
    dq
    -0.75
    soDeliveryDate
    -0.75
    bringer
    -0.74
     detectors
    -0.72
    ETS
    -0.71
    Story
    -0.70
    Tickets
    -0.68
     Rooms
    -0.67
     concerts
    -0.67
     Exhibition
    -0.67
    POSITIVE LOGITS
     garlic
    1.23
     onion
    1.15
     onions
    1.06
     minced
    1.06
     carrot
    1.02
     diced
    1.01
     almonds
    0.97
     ginger
    0.96
     carrots
    0.95
     tomato
    0.95
    Activations Density 0.114%

    No Known Activations