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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. 7-RES-JB
    11. 3957
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    Explanations

    strings of characters that are recognized as some kind of code or signaling within the context of the document

    oai_token-act-pair · gpt-3.5-turbo

    different forms or mentions of "matters" and "posts" in a formal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Floyd
    -0.93
     dime
    -0.90
     Shelby
    -0.85
     Vanderbilt
    -0.81
    phia
    -0.81
     homebrew
    -0.80
     Doyle
    -0.79
     ponies
    -0.78
     Rutherford
    -0.78
     Courtney
    -0.77
    POSITIVE LOGITS
    Translation
    1.26
    Refer
    1.23
    However
    1.23
    According
    1.16
    Sa
    1.15
    Moreover
    1.15
    Meanwhile
    1.13
    Moh
    1.11
    Apart
    1.11
    Kh
    1.11
    Activations Density 0.515%

    No Known Activations