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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. 13117
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    Explanations

    phrases related to scheduling, responsibilities, and coordination

    oai_token-act-pair · gpt-3.5-turbo

    instances of time management and scheduling

    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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    Negative Logits
     Canaver
    -0.63
     Courts
    -0.62
     Prohibition
    -0.60
     Proposition
    -0.60
    ©¶æ¥µ
    -0.59
     Electoral
    -0.59
    âĢİ
    -0.59
     deterrence
    -0.59
    dds
    -0.57
    tarians
    -0.56
    POSITIVE LOGITS
     chores
    0.78
     babys
    0.75
     beforehand
    0.72
     deadlines
    0.71
     lunch
    0.68
    mins
    0.67
     session
    0.66
     queue
    0.66
     meal
    0.66
     filler
    0.65
    Activations Density 0.947%

    No Known Activations