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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10448
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    Explanations

    proper nouns or names of people, places, and things

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the article "an."

    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
    âĸº
    -0.88
     pupils
    -0.73
    BLE
    -0.71
    åĨ
    -0.71
    BOOK
    -0.70
    EngineDebug
    -0.69
    ĵĺ
    -0.67
    âĨ
    -0.67
    MEN
    -0.65
    åĭ
    -0.64
    POSITIVE LOGITS
    omaly
    1.27
    alys
    1.22
    xiety
    1.18
    alyses
    1.18
    throp
    1.16
    omal
    1.16
    alyst
    1.16
    onym
    1.15
    notations
    1.15
    alogue
    1.14
    Activations Density 0.073%

    No Known Activations