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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. 8-RES-JB
    6. 24559
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    INDEX
    Explanations

    statements related to scientific research findings

    oai_token-act-pair · gpt-3.5-turbo

    connections between substances and health effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Unic
    -0.71
    RAFT
    -0.70
    arna
    -0.69
    rentices
    -0.66
     Obj
    -0.65
     Specifications
    -0.65
    phabet
    -0.64
     acron
    -0.64
     numbering
    -0.61
     Springer
    -0.61
    POSITIVE LOGITS
     beneficial
    1.17
     calming
    1.16
     impair
    1.14
     decreases
    1.10
     detrimental
    1.06
     stimulating
    1.06
     boosting
    1.05
     decrease
    1.04
     inducing
    1.03
     inhibit
    1.03
    Activations Density 0.888%

    No Known Activations