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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. 5-RES-JB
    6. 16111
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    Explanations

    programming-related terms, specifically focusing on arguments and parameters

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to arguments and parameters in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blogspot
    -0.79
    historic
    -0.76
    icult
    -0.73
    iful
    -0.72
    SEA
    -0.71
    iss
    -0.70
    opia
    -0.69
     millenn
    -0.68
    oria
    -0.67
    Bench
    -0.66
    POSITIVE LOGITS
    uments
    1.06
     args
    0.90
    ument
    0.89
     passed
    0.86
     arguments
    0.75
     packets
    0.74
     fet
    0.74
     names
    0.71
     slots
    0.70
     supplied
    0.70
    Activations Density 0.034%

    No Known Activations