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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. 9-RES-JB
    11. 11673
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    Explanations

    specific technology-related terms and names

    oai_token-act-pair · gpt-3.5-turbo

    the word "by" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ì
    -0.81
    uality
    -0.79
    heimer
    -0.73
    stakes
    -0.72
    ãĥ´ãĤ¡
    -0.71
    ashtra
    -0.68
    ovy
    -0.67
    ãĤ¦ãĤ¹
    -0.66
    Ó
    -0.66
    Ñĭ
    -0.66
    POSITIVE LOGITS
     virtue
    1.06
    products
    0.98
     contractors
    0.90
     employers
    0.87
     clients
    0.86
     locals
    0.85
     collectors
    0.84
     entities
    0.84
     vendors
    0.84
     passers
    0.83
    Activations Density 0.156%

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