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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. 6-RES-JB
    6. 17241
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    Explanations

    references to historical time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific centuries and historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hod
    -0.91
    iquid
    -0.89
    ortium
    -0.82
    Downloadha
    -0.78
    aturday
    -0.77
    ECTION
    -0.77
    etsk
    -0.75
    TPPStreamerBot
    -0.74
    Pack
    -0.74
    govtrack
    -0.73
    POSITIVE LOGITS
     BCE
    0.87
     era
    0.84
     onwards
    0.84
     hindsight
    0.78
     Inquisition
    0.77
     onward
    0.77
     Era
    0.76
     Revival
    0.75
    JD
    0.74
     colonial
    0.71
    Activations Density 0.031%

    No Known Activations