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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. 1-RES-JB
    6. 8346
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    Explanations

    keywords related to infestations and data testing or validation

    oai_token-act-pair · gpt-3.5-turbo

    words related to infestation or being infested

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.71
    tor
    -0.71
    brow
    -0.67
     Kinnikuman
    -0.67
    vor
    -0.66
    gap
    -0.64
    lua
    -0.62
     morbid
    -0.60
    blance
    -0.59
    tri
    -0.59
    POSITIVE LOGITS
    ested
    1.29
    esting
    1.03
    icious
    0.75
    naire
    0.72
    icated
    0.71
    imated
    0.70
    imates
    0.69
    iary
    0.68
    OSED
    0.67
    ragon
    0.67
    Activations Density 0.007%

    No Known Activations