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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. 0-RES-JB
    11. 9932
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    Explanations

    phrases containing names of organizations or foundations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various foundations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Poc
    -0.69
    lot
    -0.67
     chic
    -0.66
     cass
    -0.66
    sed
    -0.65
    ettings
    -0.64
     sidel
    -0.64
     tuned
    -0.63
     discipl
    -0.63
    los
    -0.63
    POSITIVE LOGITS
     Foundation
    3.82
    foundation
    2.13
     foundation
    2.12
     foundations
    1.54
    Found
    1.53
     Fund
    1.32
     Institute
    1.28
     Trust
    1.26
     Society
    1.26
     Association
    1.19
    Activations Density 0.006%

    No Known Activations