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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. 11-RES-JB
    11. 16420
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    Explanations

    phrases related to programming functions and methods

    oai_token-act-pair · gpt-3.5-turbo

    programming functions and methods

    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
    artifacts
    -0.73
    Redd
    -0.69
    papers
    -0.69
    ometers
    -0.68
    quarters
    -0.68
    waters
    -0.67
    lights
    -0.66
    ãĤª
    -0.65
    Trend
    -0.65
    ±
    -0.64
    POSITIVE LOGITS
     invocation
    1.27
     invoked
    1.07
     func
    1.05
     callback
    1.05
     constructor
    1.03
    method
    1.00
     function
    0.98
    invoke
    0.98
     invoke
    0.97
     declaration
    0.97
    Activations Density 0.136%

    No Known Activations