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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. 7526
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    Explanations

    phrases related to testing, effectiveness, and deployment of various methods and technologies

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the effectiveness and testing of treatments or therapies

    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
    cknowled
    -0.78
     largeDownload
    -0.74
     heels
    -0.69
    Tickets
    -0.67
     Stein
    -0.65
    DragonMagazine
    -0.65
     Credits
    -0.64
     Fein
    -0.64
     IMF
    -0.61
    Optional
    -0.60
    POSITIVE LOGITS
    acea
    0.93
    humans
    0.79
     humans
    0.74
    chnology
    0.74
     interstate
    0.73
     everyday
    0.70
     therape
    0.69
     throughput
    0.69
    anced
    0.68
     harming
    0.66
    Activations Density 0.515%

    No Known Activations