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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. 1-RES-JB
    11. 6659
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    Explanations

    keywords related to oils and their uses

    oai_token-act-pair · gpt-3.5-turbo

    references to oils and their scents in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keye
    -0.84
     Clause
    -0.76
     Deity
    -0.76
    buster
    -0.68
     Lieberman
    -0.67
     Hawking
    -0.67
     Goals
    -0.67
    inez
    -0.66
    ancial
    -0.66
     Charter
    -0.64
    POSITIVE LOGITS
     oils
    1.08
     perfume
    0.96
     fragrance
    0.91
     smelled
    0.87
     glands
    0.84
     scent
    0.84
     moistur
    0.82
     smelling
    0.81
    quer
    0.80
     lubric
    0.78
    Activations Density 0.021%

    No Known Activations