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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. 7-RES-JB
    11. 12571
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    Explanations

    mentions of various foundations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of charitable foundations and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.78
    cyl
    -0.69
    ãĥ´
    -0.69
    thin
    -0.67
     embodiments
    -0.66
     Machines
    -0.66
    corn
    -0.65
    catentry
    -0.65
    selves
    -0.63
    nian
    -0.63
    POSITIVE LOGITS
     Foundation
    0.88
     trustees
    0.85
     foundation
    0.85
    funded
    0.80
     funded
    0.79
     donor
    0.74
     Fund
    0.73
    notes
    0.70
    raising
    0.70
    onic
    0.69
    Activations Density 0.026%

    No Known Activations