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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. 4-RES-JB
    11. 15545
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    Explanations

    names of people from various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

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

    Negative Logits
    _.
    -0.64
    sic
    -0.63
    Secondly
    -0.63
     challeng
    -0.62
     disadvant
    -0.62
    forth
    -0.61
     thereof
    -0.61
    âĹ¼
    -0.60
     encour
    -0.59
     thereafter
    -0.58
    POSITIVE LOGITS
     âĢº
    0.85
     Updated
    0.68
     Vegan
    0.64
     Entered
    0.62
     Expand
    0.61
     ][
    0.61
     MPG
    0.57
     Hearthstone
    0.57
     Ranked
    0.57
     RELEASE
    0.56
    Activations Density 1.341%

    No Known Activations