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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. 10-RES-JB
    6. 9588
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to research and development activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veland
    -0.71
     Eater
    -0.70
     Remastered
    -0.69
    onement
    -0.68
     Swap
    -0.68
    anza
    -0.64
    igl
    -0.63
    erity
    -0.61
    twitch
    -0.61
    ordinate
    -0.60
    POSITIVE LOGITS
     instit
    1.07
     laboratories
    1.00
     labs
    0.97
     assistants
    0.96
     findings
    0.95
     conducted
    0.92
     institute
    0.90
     undertaken
    0.90
     methodology
    0.89
     collaborations
    0.87
    Activations Density 0.053%

    No Known Activations