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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. 6-RES-JB
    11. 4390
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    oai_token-act-pair · gpt-3.5-turbo

    references to websites

    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
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    Negative Logits
    fle
    -0.71
    wood
    -0.69
    ño
    -0.65
    olyn
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    oise
    -0.63
    hart
    -0.63
     deepening
    -0.63
    agher
    -0.63
    uel
    -0.62
    erie
    -0.62
    POSITIVE LOGITS
     homepage
    1.06
     www
    0.97
     URL
    0.82
    pages
    0.79
     address
    0.73
     website
    0.73
    erver
    0.73
    geist
    0.73
    address
    0.71
     page
    0.70
    Activations Density 0.030%

    No Known Activations