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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. 7554
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    Explanations

    phrases related to setting up or establishing institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the establishment or creation of organizations, agreements, or entities

    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
    used
    -0.79
    eches
    -0.72
     emitted
    -0.72
    bits
    -0.69
    eny
    -0.69
     spills
    -0.69
    using
    -0.69
     exposing
    -0.68
     intercepted
    -0.68
    licks
    -0.67
    POSITIVE LOGITS
     Advisory
    0.90
     hotline
    0.88
     nonprofit
    0.87
     rapport
    0.85
     caliphate
    0.85
     headquarters
    0.85
     Sanctuary
    0.84
     Headquarters
    0.82
     committee
    0.82
    mble
    0.82
    Activations Density 0.267%

    No Known Activations