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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. 5-RES-JB
    6. 1708
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    INDEX
    Explanations

    adjectives expressing opinions or evaluations about things or people

    oai_token-act-pair · gpt-3.5-turbo

    words related to characterization and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.66
    hoff
    -0.64
    cum
    -0.64
    nir
    -0.64
    perty
    -0.62
    neau
    -0.60
    stration
    -0.60
    externalActionCode
    -0.59
    kr
    -0.59
    isoft
    -0.59
    POSITIVE LOGITS
    phas
    0.94
     ourselves
    0.83
     oneself
    0.79
    encies
    0.78
     it
    0.77
    Ī
    0.77
    enance
    0.76
    pointers
    0.74
     themselves
    0.74
    tones
    0.73
    Activations Density 0.199%

    No Known Activations