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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. 4-RES-JB
    11. 8557
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    Explanations

    ingredients commonly used in cooking or recipes

    oai_token-act-pair · gpt-3.5-turbo

    culinary ingredients and herbs

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

    No Comments

    Negative Logits
    ¥ŀ
    -0.95
    eatures
    -0.80
    Offline
    -0.77
    EGIN
    -0.72
     coordin
    -0.71
    Orderable
    -0.71
     Shutdown
    -0.70
     simultane
    -0.70
    Student
    -0.69
     behavi
    -0.68
    POSITIVE LOGITS
    fruit
    1.12
    seed
    1.11
     flakes
    1.07
     berries
    1.06
    berries
    1.05
    cake
    1.01
    weed
    1.01
    beans
    0.99
     jelly
    0.97
    toe
    0.96
    Activations Density 0.241%

    No Known Activations