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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. 5883
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    Explanations

    chemical compounds or scientific terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and evaluation concepts

    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
     hunt
    -0.58
     saga
    -0.58
    hander
    -0.56
     workflow
    -0.55
     Sturgeon
    -0.54
     helm
    -0.54
     explorer
    -0.53
     backdrop
    -0.53
    mma
    -0.53
     Examiner
    -0.52
    POSITIVE LOGITS
    onyms
    0.99
    abytes
    0.97
    vertisements
    0.89
     equivalents
    0.89
    loads
    0.88
    links
    0.87
    alties
    0.83
    illions
    0.82
    iencies
    0.82
    uggets
    0.81
    Activations Density 0.687%

    No Known Activations