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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. 19679
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    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    the word "is" and potentially identify structural elements in the text

    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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    No Comments

    Negative Logits
    ¥ŀ
    -0.86
    ruciating
    -0.76
    ishers
    -0.71
    è¦ļéĨĴ
    -0.69
     thumbnail
    -0.66
    ished
    -0.65
    ¥µ
    -0.64
     entrances
    -0.62
     oats
    -0.61
    osponsors
    -0.61
    POSITIVE LOGITS
    abeth
    1.28
    peed
    1.13
    aurus
    1.05
    earch
    1.03
    olation
    0.94
    olate
    0.92
    terness
    0.92
    ciplinary
    0.92
    pora
    0.91
    rael
    0.91
    Activations Density 0.048%

    No Known Activations