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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. 9-RES-JB
    6. 10485
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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     PW
    -0.90
     Perkins
    -0.84
     Winn
    -0.80
     Petersen
    -0.78
    Widget
    -0.76
    ware
    -0.76
    isu
    -0.72
     Wonders
    -0.72
    796
    -0.72
     Sands
    -0.72
    POSITIVE LOGITS
    al
    1.56
    AL
    1.51
    alis
    1.41
    als
    1.34
    ali
    1.23
    alist
    1.21
    alian
    1.18
    ALS
    1.17
    ally
    1.17
    aled
    1.15
    Activations Density 0.249%

    No Known Activations