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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. 11-RES-JB
    11. 9316
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    Explanations

    food-related instructions or recipes

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitional phrases in instructional text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.73
    ody
    -0.72
    Vision
    -0.72
     Canaveral
    -0.72
     Dangerous
    -0.70
     Fundamental
    -0.69
    Lear
    -0.69
     Opportun
    -0.67
     Reloaded
    -0.66
     Objective
    -0.66
    POSITIVE LOGITS
     sprinkle
    1.37
     pour
    1.25
     fold
    1.18
     rinse
    1.17
     scrape
    1.17
     bake
    1.14
     arrange
    1.14
     slice
    1.13
     submer
    1.13
     toss
    1.13
    Activations Density 0.079%

    No Known Activations