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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. 9-RES-JB
    11. 9160
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific symbol or character across various contexts, likely representing social media handles or identifiers

    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
    worms
    -0.94
    isphere
    -0.75
    apers
    -0.72
    inarily
    -0.69
     largeDownload
    -0.69
    binding
    -0.68
    iculty
    -0.68
    headers
    -0.66
    pread
    -0.66
     relaxation
    -0.66
    POSITIVE LOGITS
    ————————
    1.06
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    0.96
    ————
    0.94
     (@
    0.91
     âľ
    0.89
     âĺ
    0.86
     Ø
    0.83
     Ùħ
    0.83
     Kyle
    0.83
     SPORTS
    0.82
    Activations Density 0.052%

    No Known Activations