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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. 10-RES-JB
    11. 6265
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    Explanations

    keywords related to construction or manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    references to build quality and specifications of devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ught
    -0.69
    andra
    -0.68
    izon
    -0.68
    mia
    -0.64
    ricular
    -0.63
    phans
    -0.62
    ican
    -0.62
    tto
    -0.62
     Rollins
    -0.60
    tein
    -0.60
    POSITIVE LOGITS
    smanship
    0.92
    building
    0.86
    mud
    0.85
    craft
    0.84
    builder
    0.84
    bot
    0.82
    raft
    0.78
     builder
    0.78
    ivist
    0.78
    camp
    0.75
    Activations Density 0.039%

    No Known Activations