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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. 4-RES-JB
    11. 3969
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    Explanations

    specific mentions of paragraphs within text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific paragraphs or sections in a document

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

    No Comments

    Negative Logits
    eer
    -0.82
    ocker
    -0.78
    eus
    -0.71
    ereo
    -0.68
    ebus
    -0.66
    awaru
    -0.66
    ntil
    -0.65
    ikarp
    -0.65
    camera
    -0.64
    essed
    -0.62
    POSITIVE LOGITS
    witz
    1.07
     paragraph
    1.00
     paragraphs
    0.93
    paragraph
    0.91
    agraph
    0.87
    acters
    0.78
    CHAPTER
    0.78
    matical
    0.78
     "$:/
    0.77
    views
    0.76
    Activations Density 0.006%

    No Known Activations