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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8445
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    INDEX
    Explanations

    places, organizations, and infrastructure terms

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental projects, infrastructure, and public facilities

    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
    velength
    -0.73
    ustomed
    -0.72
     Mens
    -0.71
     headsets
    -0.71
    atches
    -0.70
     impressions
    -0.70
     princ
    -0.68
     Gentle
    -0.67
     helpers
    -0.67
     Differences
    -0.65
    POSITIVE LOGITS
     reopened
    1.10
     bankrupt
    1.03
     crumbling
    1.00
     costing
    0.98
     profitable
    0.98
     rubble
    0.97
     destroyed
    0.96
     privatization
    0.96
     dismantled
    0.94
     wreckage
    0.93
    Activations Density 0.589%

    No Known Activations