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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. 2-RES-JB
    11. 16304
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    INDEX
    Explanations

    references to briefings or meetings

    oai_token-act-pair · gpt-3.5-turbo

    the term "briefing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    relative
    -0.70
    meter
    -0.68
    aws
    -0.67
    export
    -0.66
    Sax
    -0.66
    basketball
    -0.66
    chrom
    -0.65
    create
    -0.62
    morph
    -0.62
    paying
    -0.62
    POSITIVE LOGITS
     briefings
    1.22
     briefing
    1.13
    DragonMagazine
    0.86
     refres
    0.85
     sessions
    0.83
     briefs
    0.75
     Brief
    0.74
     Tanz
    0.73
     assignments
    0.72
     session
    0.72
    Activations Density 0.007%

    No Known Activations