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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. 3-RES-JB
    11. 12574
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    Explanations

    function calls and related terms in code snippets

    oai_token-act-pair · gpt-3.5-turbo

    references to function calls and the associated programming concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipeg
    -0.92
     Bermuda
    -0.87
    isphere
    -0.80
    Alabama
    -0.74
     Flavoring
    -0.72
     embr
    -0.70
     unden
    -0.70
     stocking
    -0.70
     Tasmania
    -0.67
     disadvant
    -0.67
    POSITIVE LOGITS
    backs
    1.14
     Trace
    0.86
    call
    0.84
    stack
    0.81
     invoked
    0.76
    ument
    0.73
    ptions
    0.73
    ynamic
    0.73
    Function
    0.73
    oaded
    0.72
    Activations Density 0.020%

    No Known Activations