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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. 9-RES-JB
    11. 23082
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    Explanations

    references to various foundations

    oai_token-act-pair · gpt-3.5-turbo

    references to various foundations and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    corn
    -0.70
    thin
    -0.69
    Lear
    -0.69
    displayText
    -0.67
    iple
    -0.67
    catentry
    -0.67
    cyl
    -0.66
    lan
    -0.64
     embodiments
    -0.63
    "]=>
    -0.62
    POSITIVE LOGITS
     trustees
    0.89
    funded
    0.87
     Foundation
    0.85
     funded
    0.81
     foundation
    0.79
     donors
    0.78
     donation
    0.77
     donor
    0.77
    aires
    0.73
    owment
    0.72
    Activations Density 0.041%

    No Known Activations