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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. 6696
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    Explanations

    syntax errors in code snippets

    oai_token-act-pair · gpt-3.5-turbo

    references to programming errors and exceptions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aples
    -0.81
    antine
    -0.79
    emouth
    -0.78
    mates
    -0.74
    rylic
    -0.74
     holdings
    -0.72
    plates
    -0.72
     bedrooms
    -0.71
    lik
    -0.70
    ignty
    -0.70
    POSITIVE LOGITS
    Message
    1.01
    Failure
    1.00
    Msg
    0.99
     handler
    0.97
     Warn
    0.96
     Error
    0.96
     warnings
    0.95
     Errors
    0.95
     Argument
    0.94
    DERR
    0.94
    Activations Density 0.167%

    No Known Activations