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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. 5081
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    Explanations

    time durations

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing time durations or intervals

    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
    ibl
    -0.72
    rawdownloadcloneembedreportprint
    -0.63
    egu
    -0.61
    heny
    -0.59
     Sovere
    -0.58
    dayName
    -0.58
    gat
    -0.57
     BCC
    -0.57
    æĢ
    -0.56
    ãĤ´ãĥ³
    -0.56
    POSITIVE LOGITS
     counting
    1.31
     forty
    0.91
     thirteen
    0.89
     fifteen
    0.88
     fifty
    0.87
     twenty
    0.86
     half
    0.85
     seventeen
    0.84
     thirty
    0.83
     eighteen
    0.82
    Activations Density 0.080%

    No Known Activations