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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. 24419
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    Explanations

    phrases related to organizational or personal missions

    oai_token-act-pair · gpt-3.5-turbo

    references to organizational missions or goals

    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
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    Negative Logits
    ãģį
    -0.77
    Column
    -0.76
    picking
    -0.69
    vae
    -0.68
    latest
    -0.67
    urrencies
    -0.67
    Prev
    -0.64
    articles
    -0.64
    Series
    -0.64
    天
    -0.63
    POSITIVE LOGITS
     mission
    1.07
     missions
    0.92
     Mission
    0.86
     creep
    0.85
    arily
    0.82
     abroad
    0.77
     Missions
    0.76
    eers
    0.74
    Mission
    0.72
     accomplished
    0.71
    Activations Density 0.011%

    No Known Activations