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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8274
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    emale
    -0.79
    enegger
    -0.60
     thous
    -0.59
    atever
    -0.56
     Moroc
    -0.55
    farious
    -0.54
    acebook
    -0.53
     Vaugh
    -0.52
    orld
    -0.51
     referen
    -0.49
    POSITIVE LOGITS
     âĢº
    0.56
     largeDownload
    0.54
    reb
    0.50
    utions
    0.47
    coin
    0.47
     Entered
    0.45
     DRAGON
    0.45
    brew
    0.45
    lement
    0.44
    mel
    0.43
    Activations Density 2.529%

    No Known Activations