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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. 18123
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical references to programming or database operations

    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
    manship
    -0.72
    ahs
    -0.70
    Brexit
    -0.69
    issy
    -0.68
    Advertisement
    -0.67
    waters
    -0.67
    Tier
    -0.66
    âĢ¢
    -0.66
    fires
    -0.65
    hunt
    -0.63
    POSITIVE LOGITS
     resultant
    1.14
     entire
    1.13
     user
    1.13
     underlying
    1.13
     same
    1.12
     clipboard
    1.11
     GUI
    1.11
     specified
    1.10
     server
    1.09
     filesystem
    1.08
    Activations Density 0.249%

    No Known Activations