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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. 2-RES-JB
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    Explanations

    references to software developers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "developer" and variations commonly associated with software development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ń·
    -0.76
    zzi
    -0.73
    wa
    -0.71
    76561
    -0.69
    lv
    -0.68
    ysical
    -0.68
    wait
    -0.68
    iscopal
    -0.66
    thur
    -0.65
    gans
    -0.65
    POSITIVE LOGITS
     developer
    0.96
    urally
    0.95
     developers
    0.84
    paces
    0.83
     Developers
    0.81
    Developer
    0.78
    develop
    0.76
    ourage
    0.73
    ency
    0.71
     development
    0.69
    Activations Density 0.023%

    No Known Activations