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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. 23935
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    Explanations

    people or things being adorned or equipped with specific items or features

    oai_token-act-pair · gpt-3.5-turbo

    words related to attributes and characteristics of objects or concepts

    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
    burgh
    -0.68
    cot
    -0.65
    RESULTS
    -0.62
     Chiefs
    -0.60
     Depot
    -0.60
     Doctrine
    -0.60
    talk
    -0.59
     Notting
    -0.59
     Cliff
    -0.58
    Forest
    -0.58
    POSITIVE LOGITS
     solely
    0.84
     BY
    0.83
     by
    0.82
     exclusively
    0.78
    ¥ŀ
    0.75
     prominently
    0.73
     chiefly
    0.71
     aback
    0.70
    itled
    0.70
    inel
    0.67
    Activations Density 0.250%

    No Known Activations