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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 256
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     renaissance
    -0.80
     Expansion
    -0.74
     Cities
    -0.70
     Luxem
    -0.69
     Sect
    -0.68
     Formula
    -0.66
     Countries
    -0.65
     MW
    -0.65
     unite
    -0.65
     mathemat
    -0.63
    POSITIVE LOGITS
     undet
    1.17
     suspicion
    1.09
     incrim
    1.09
     suspicions
    1.00
     discreet
    0.96
     clues
    0.95
     innocuous
    0.94
     subconscious
    0.94
     intrusive
    0.93
     guessing
    0.93
    Activations Density 0.756%

    No Known Activations