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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. 10968
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    Explanations

    phrases related to time duration, especially focusing on short and long terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to timeframes, specifically short-term and long-term outcomes

    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
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    Negative Logits
    edIn
    -0.74
    othing
    -0.70
    Ĥª
    -0.70
    oaded
    -0.65
    ophy
    -0.65
    oy
    -0.62
    yl
    -0.62
    inyl
    -0.60
     Policies
    -0.60
    oys
    -0.60
    POSITIVE LOGITS
    ixties
    0.71
    imester
    0.66
     thereof
    0.66
    finals
    0.66
     overwhelm
    0.65
     aftermath
    0.63
     ESV
    0.62
     trop
    0.61
    nings
    0.60
     Ricardo
    0.60
    Activations Density 0.167%

    No Known Activations