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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. 2-RES-JB
    11. 7417
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    Explanations

    mentions of products or services described as having a high quality or exclusive nature

    oai_token-act-pair · gpt-3.5-turbo

    mentions of premium products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    \/\/
    -0.69
     Depression
    -0.68
    abad
    -0.68
    ãĤ±
    -0.68
    OPA
    -0.67
    arms
    -0.66
     Liberation
    -0.65
    ells
    -0.65
     Pens
    -0.64
    ometown
    -0.64
    POSITIVE LOGITS
     premium
    1.22
     veter
    1.04
     premiums
    0.91
     tremend
    0.90
     discounts
    0.88
     fare
    0.86
    Premium
    0.83
    cedes
    0.81
    itures
    0.79
    illac
    0.78
    Activations Density 0.008%

    No Known Activations