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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 7581
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    INDEX
    Explanations

    keywords related to sewing and crafting, specifically focusing on the action of stitching

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sewing and textile crafting techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enture
    -0.85
    inez
    -0.83
     pronoun
    -0.82
    undai
    -0.81
     Cheong
    -0.79
    phas
    -0.71
     Ferr
    -0.70
     Oro
    -0.68
    essor
    -0.67
    oples
    -0.67
    POSITIVE LOGITS
     stitch
    1.24
     knit
    1.20
     yarn
    1.04
     stitches
    1.03
     knitting
    0.98
    knit
    0.94
     crochet
    0.93
     stitching
    0.92
    ÃįÃį
    0.87
    wear
    0.85
    Activations Density 0.013%

    No Known Activations