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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. 7-RES-JB
    11. 3560
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    Explanations

    medical terms and conditions (pathologies)

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'c' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.85
     resil
    -0.68
    ãĥĹ
    -0.68
     juggling
    -0.62
     contagious
    -0.62
    Materials
    -0.60
     Grateful
    -0.60
     Yamaha
    -0.59
     dish
    -0.59
     spoiler
    -0.58
    POSITIVE LOGITS
    ologne
    1.26
    oding
    1.20
    redits
    1.14
    ounters
    1.14
    isco
    1.12
    rouch
    1.12
    ursor
    1.11
    rossover
    1.11
    ursed
    1.08
    otton
    1.06
    Activations Density 0.055%

    No Known Activations