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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. 9-RES-JB
    11. 19709
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    Explanations

    phrases related to the concept of time and calls to action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the urgency of taking action or making decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    utsu
    -0.66
    obook
    -0.64
    riad
    -0.64
    ourt
    -0.62
    iership
    -0.61
    ournal
    -0.61
    hemat
    -0.61
    insula
    -0.60
     perpend
    -0.59
    inth
    -0.57
    POSITIVE LOGITS
     consuming
    0.75
     overdue
    0.68
     anew
    0.67
    ogical
    0.64
    consuming
    0.63
     to
    0.61
    fore
    0.61
    ful
    0.60
    llor
    0.60
     Governments
    0.59
    Activations Density 0.040%

    No Known Activations