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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. 8-RES-JB
    11. 14979
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    Explanations

    references to universities, particularly "Texas A&M University"

    oai_token-act-pair · gpt-3.5-turbo

    references to Texas A&M University

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Shape
    -0.71
    zsche
    -0.67
     Directive
    -0.67
    ocument
    -0.64
    SourceFile
    -0.64
    Filename
    -0.62
     Codex
    -0.61
     Zot
    -0.61
     Zup
    -0.60
    Information
    -0.58
    POSITIVE LOGITS
    auga
    0.66
    andro
    0.65
    anwhile
    0.64
    pees
    0.60
    dating
    0.60
     Semin
    0.59
    oufl
    0.59
    arre
    0.58
    union
    0.58
    rito
    0.58
    Activations Density 0.153%

    No Known Activations