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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. 15001
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    Explanations

    software and technology-related terms, specifically related to application development and frameworks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "application" in various contexts

    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
    ord
    -0.83
    ²¾
    -0.75
    bons
    -0.73
    sonian
    -0.72
    ault
    -0.71
    king
    -0.69
    quished
    -0.68
    roman
    -0.67
    ricular
    -0.67
    apes
    -0.67
    POSITIVE LOGITS
    mable
    0.85
    matically
    0.81
     launcher
    0.80
    ele
    0.80
     processor
    0.78
     processors
    0.75
     sandbox
    0.73
     developer
    0.73
     developers
    0.72
     layer
    0.71
    Activations Density 0.027%

    No Known Activations