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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. 11-RES-JB
    6. 15311
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    INDEX
    Explanations

    phrases discussing performance evaluations or critiques

    oai_token-act-pair · gpt-3.5-turbo

    criticisms related to performance and consistency in a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.88
    idon
    -0.82
    ESE
    -0.79
     democrat
    -0.73
    ACP
    -0.73
     Inform
    -0.72
    toc
    -0.72
    velt
    -0.70
     GOODMAN
    -0.68
    omers
    -0.68
    POSITIVE LOGITS
     inconsistency
    1.49
     turnovers
    1.43
     inconsistent
    1.42
     inacc
    1.30
     inability
    1.28
     deficiencies
    1.26
     sloppy
    1.25
     injuries
    1.24
     inconsistencies
    1.24
     struggles
    1.22
    Activations Density 0.454%

    No Known Activations