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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. 6-RES-JB
    11. 3671
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     tremend
    -0.91
    ãģĦ
    -0.89
    conservancy
    -0.83
    omething
    -0.78
    icter
    -0.76
     acknow
    -0.76
    âĹ¼
    -0.74
     tide
    -0.74
    ãģį
    -0.74
    20439
    -0.73
    POSITIVE LOGITS
     Manager
    1.11
     âĵĺ
    1.00
     Association
    0.96
     Holder
    0.94
     Kits
    0.94
     Locations
    0.90
     Suite
    0.89
     Firm
    0.87
     Month
    0.87
     Replacement
    0.87
    Activations Density 0.322%

    No Known Activations