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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. 21217
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    INDEX
    Explanations

    specific patterns of words including phrases related to physical and abstract quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a high level of certainty or assurance

    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
    help
    -0.65
    âĢİ
    -0.65
    atever
    -0.65
    prising
    -0.63
    tainment
    -0.62
    ibliography
    -0.62
     regrets
    -0.61
     Helpful
    -0.60
    åij
    -0.59
     congratulations
    -0.58
    POSITIVE LOGITS
     rarely
    0.83
     wont
    0.83
     seldom
    0.80
     already
    0.77
     scarce
    0.76
     nature
    0.76
     relies
    0.74
     relatively
    0.74
     constantly
    0.73
     inception
    0.73
    Activations Density 0.410%

    No Known Activations