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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. 4130
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    Explanations

    percentage changes in quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating numerical changes or percentages

    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
    ngth
    -0.70
    jad
    -0.70
     trave
    -0.63
    ffield
    -0.63
    psc
    -0.62
    itialized
    -0.61
    etsk
    -0.61
    olitan
    -0.60
    istar
    -0.59
    DragonMagazine
    -0.58
    POSITIVE LOGITS
     leaps
    1.17
     50
    0.96
     nearly
    0.92
     25
    0.91
     20
    0.90
     half
    0.89
     40
    0.88
     roughly
    0.88
     approximately
    0.86
     30
    0.86
    Activations Density 0.061%

    No Known Activations