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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. 7712
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    INDEX
    Explanations

    phrases related to official organizations and procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental bodies or institutions

    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
    uers
    -0.71
     gigs
    -0.71
     headlines
    -0.69
     bunk
    -0.69
    etus
    -0.68
    vered
    -0.67
     hordes
    -0.66
     dope
    -0.66
    Lago
    -0.66
    otle
    -0.65
    POSITIVE LOGITS
     Advisory
    1.33
     Management
    1.13
     Resource
    1.11
     Task
    1.09
     Assessment
    1.09
     Prevention
    1.09
     Monitoring
    1.08
     Compensation
    1.07
     Development
    1.06
     Stability
    1.04
    Activations Density 0.878%

    No Known Activations