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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. 0-RES-JB
    11. 4926
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    INDEX
    Explanations

    names or terms related to specific centers or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various centers or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bye
    -0.70
    beard
    -0.70
    vious
    -0.70
    --
    -0.70
    ebus
    -0.65
     nonex
    -0.65
     obey
    -0.64
     humor
    -0.63
     armor
    -0.63
    android
    -0.62
    POSITIVE LOGITS
     Centre
    3.91
     centre
    2.53
     Center
    2.26
     centres
    2.13
    Center
    1.66
    Cent
    1.53
     Organisation
    1.45
     Centers
    1.39
     center
    1.36
    center
    1.36
    Activations Density 0.010%

    No Known Activations