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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. 4-RES-JB
    6. 10098
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    Explanations

    variables, functions, and code snippets within a programming context

    oai_token-act-pair · gpt-3.5-turbo

    function and variable definitions in programming code

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

    No Comments

    Negative Logits
     Flavoring
    -0.80
     Institution
    -0.79
     Opportun
    -0.78
     Constitutional
    -0.68
    CLASSIFIED
    -0.68
    ×Ļ×
    -0.68
     crucifix
    -0.67
     Disorder
    -0.67
    ãĤª
    -0.66
    éļ
    -0.66
    POSITIVE LOGITS
    args
    0.87
    dx
    0.84
    seq
    0.83
    db
    0.83
    stack
    0.82
    code
    0.78
    cs
    0.77
    pi
    0.77
    vp
    0.76
    copy
    0.75
    Activations Density 0.147%

    No Known Activations