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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23390
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    Explanations

    personal stories or dialogues involving emotional or interpersonal interactions

    oai_token-act-pair · gpt-3.5-turbo

    distinct personal pronouns and references to individuals

    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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    Negative Logits
     Citation
    -0.75
    terness
    -0.72
    htaking
    -0.69
    payers
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    tesy
    -0.67
    geries
    -0.64
    ocre
    -0.64
    cussion
    -0.63
    gate
    -0.62
    een
    -0.61
    POSITIVE LOGITS
     own
    1.04
     intend
    0.75
     wished
    0.72
     intention
    0.71
     favoured
    0.70
     hoped
    0.70
     subscribed
    0.68
    Shares
    0.66
     OWN
    0.65
     wish
    0.65
    Activations Density 0.793%

    No Known Activations