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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. 11-RES-JB
    11. 23293
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    Explanations

    financial information, such as costs and savings, mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and costs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bernatorial
    -0.59
     pestic
    -0.59
    bos
    -0.57
    illin
    -0.55
    士
    -0.53
    olitical
    -0.53
    raints
    -0.52
     nonpartisan
    -0.52
    embed
    -0.51
    ThumbnailImage
    -0.51
    POSITIVE LOGITS
     ~
    1.05
     approx
    0.94
     3000
    0.94
     4000
    0.94
     10000
    0.92
     2500
    0.90
     6000
    0.88
     1500
    0.88
     5000
    0.88
     8000
    0.88
    Activations Density 0.334%

    No Known Activations