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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. 17748
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    INDEX
    Explanations

    descriptions of various job-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to hard work and personal responsibility in challenging circumstances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    canon
    -0.95
     Disclosure
    -0.85
     Timeline
    -0.79
     Offensive
    -0.79
     definitively
    -0.77
     Collider
    -0.75
    agonist
    -0.74
     referenced
    -0.74
     Conspiracy
    -0.74
     spoiler
    -0.73
    POSITIVE LOGITS
     subsistence
    1.53
     labou
    1.26
     meager
    1.23
     ration
    1.20
     wages
    1.18
     livelihood
    1.17
     starve
    1.09
     incomes
    1.06
     groceries
    1.06
     chores
    1.04
    Activations Density 0.869%

    No Known Activations