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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. 2628
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    Explanations

    references to historical economic events, particularly those related to periods like the Great Depression and the Great Recession

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical events related to economic crises

    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
    utical
    -0.82
    qqa
    -0.82
    ople
    -0.81
    ograp
    -0.80
    utics
    -0.72
    OPLE
    -0.69
    CHAT
    -0.67
     externalToEVAOnly
    -0.67
    Ãį
    -0.67
    Reloaded
    -0.66
    POSITIVE LOGITS
     Recession
    0.93
     Lakes
    0.91
     Basin
    0.90
     Dane
    0.88
    batch
    0.88
    ness
    0.88
     Divide
    0.87
     Depression
    0.85
     Barrier
    0.83
     Falls
    0.80
    Activations Density 0.017%

    No Known Activations