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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. 3-RES-JB
    11. 256
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    Explanations

    references to specific institutions, like Carnegie Mellon University

    oai_token-act-pair · gpt-3.5-turbo

    references to the Carnegie institution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uel
    -0.90
    swing
    -0.81
    ĪĴ
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    rx
    -0.76
    gers
    -0.75
    req
    -0.73
    edit
    -0.71
    ged
    -0.70
    UE
    -0.68
    uring
    -0.67
    POSITIVE LOGITS
     Mellon
    1.41
    negie
    1.20
     Institution
    1.10
     Carnegie
    1.04
    kefeller
    0.76
    æ©
    0.73
    idge
    0.71
     Burnett
    0.69
     Square
    0.68
    anut
    0.67
    Activations Density 0.004%

    No Known Activations