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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. 5-RES-JB
    6. 9916
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    INDEX
    Explanations

    numbers and abbreviations used to describe nutritional information

    oai_token-act-pair · gpt-3.5-turbo

    references to body mass measurements or nutritional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.81
     delinquent
    -0.68
    MENTS
    -0.67
    RELATED
    -0.64
    OUS
    -0.64
    MENT
    -0.64
    ARI
    -0.64
     outfield
    -0.62
     Samoa
    -0.60
     hazard
    -0.60
    POSITIVE LOGITS
    hirt
    1.15
    ites
    1.09
    erver
    1.09
    leep
    1.05
    poons
    1.04
    poon
    1.04
    ocket
    1.04
    pace
    1.02
    ession
    1.02
    ettings
    1.01
    Activations Density 0.024%

    No Known Activations