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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. 16163
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    Explanations

    information related to real-time updates and customer interactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating awareness and understanding of current events or situations

    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
    nesty
    -0.73
    ©¶æ¥µ
    -0.72
    uphem
    -0.64
    pload
    -0.62
    lor
    -0.61
    ortium
    -0.60
    ayne
    -0.60
    ©¶æ
    -0.59
    ritical
    -0.56
    >>>>>>>>
    -0.56
    POSITIVE LOGITS
     situations
    1.06
     emergencies
    0.97
     predic
    0.95
     crises
    0.94
     pertinent
    0.93
     needs
    0.93
     nuances
    0.92
     topics
    0.88
     essentials
    0.87
     dile
    0.86
    Activations Density 1.201%

    No Known Activations