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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. 11-RES-JB
    11. 2476
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    terms related to automatic processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to automatic processes or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.97
    borough
    -0.79
    ilion
    -0.78
    ippi
    -0.77
    nan
    -0.75
    gdala
    -0.73
    mere
    -0.73
    yip
    -0.73
    ewski
    -0.71
    imaru
    -0.71
    POSITIVE LOGITS
     upd
    0.93
    ized
    0.93
     sprink
    0.91
    aneous
    0.91
     reload
    0.90
     updating
    0.90
    ised
    0.90
     renewal
    0.88
     transmission
    0.87
    isable
    0.87
    Activations Density 0.048%

    No Known Activations