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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. 9-RES-JB
    6. 19076
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    Explanations

    words related to the reliability and usability of products or theories

    oai_token-act-pair · gpt-3.5-turbo

    terms related to assessment and evaluation of reliability and usability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inis
    -0.80
    onal
    -0.78
    raine
    -0.72
     Wick
    -0.67
    eric
    -0.67
    goers
    -0.62
    Pic
    -0.62
    ulla
    -0.62
    Lens
    -0.61
    joining
    -0.61
    POSITIVE LOGITS
    worthiness
    1.00
     mismatch
    0.93
     ratings
    0.93
    ability
    0.90
    iencies
    0.85
    BILITY
    0.83
     testing
    0.83
    abilities
    0.82
     assurance
    0.81
     rating
    0.80
    Activations Density 0.191%

    No Known Activations