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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. 18894
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    Explanations

    patterns and techniques related to knitting and crocheting

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to sewing and knitting techniques

    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
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    No Comments

    Negative Logits
    inez
    -0.93
     Mub
    -0.85
    ayson
    -0.80
    resy
    -0.79
    ouston
    -0.79
    anamo
    -0.78
    enture
    -0.78
    undai
    -0.78
    Ĥ¬
    -0.77
     Mubarak
    -0.72
    POSITIVE LOGITS
     stitch
    1.16
     yarn
    1.15
     knit
    1.01
     crochet
    0.98
     knitting
    0.91
     stitches
    0.91
     woven
    0.89
    knit
    0.86
     needle
    0.81
     thread
    0.79
    Activations Density 0.040%

    No Known Activations