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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. 10-RES-JB
    11. 12805
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    INDEX
    Explanations

    phrases related to busy and mundane lifestyles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of obligations and responsibilities in daily life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Identified
    -0.79
    Reference
    -0.73
    itatively
    -0.72
    Prop
    -0.71
     Evidence
    -0.71
    ewitness
    -0.71
    wark
    -0.68
    ucc
    -0.65
    vertisement
    -0.65
    ochet
    -0.64
    POSITIVE LOGITS
     chores
    1.38
     stressful
    1.29
     distractions
    1.21
     boredom
    1.19
     workload
    1.18
     exhausting
    1.16
     cramped
    1.16
     responsibilities
    1.16
     downtime
    1.14
     commute
    1.12
    Activations Density 1.137%

    No Known Activations