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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15702
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    Explanations

    trading opportunities or mentions

    oai_token-act-pair · gpt-3.5-turbo

    references to trades in sports

    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
    osate
    -0.77
    vic
    -0.77
    jac
    -0.75
    phe
    -0.75
    alach
    -0.72
    icularly
    -0.72
    isan
    -0.72
    QUI
    -0.68
     WARN
    -0.68
    adal
    -0.68
    POSITIVE LOGITS
     deadline
    1.06
     Deadline
    0.91
     kicker
    0.90
     waivers
    0.82
     bait
    0.81
     rumors
    0.78
     paperback
    0.78
     away
    0.73
    offs
    0.69
     rumor
    0.69
    Activations Density 0.044%

    No Known Activations