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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. 8-RES-JB
    11. 1352
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    INDEX
    Explanations

    phrases related to difficult situations, challenges, and crises

    oai_token-act-pair · gpt-3.5-turbo

    financial challenges and crises impacting governance or economy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jew
    -0.75
    tained
    -0.69
    az
    -0.66
    orn
    -0.66
    udicrous
    -0.66
    AAAA
    -0.65
    AZ
    -0.65
    agos
    -0.64
    irgin
    -0.63
    hood
    -0.63
    POSITIVE LOGITS
     shortages
    0.79
     rebuilding
    0.78
     evac
    0.77
     postp
    0.77
     withdrawals
    0.75
     compounded
    0.74
     refunds
    0.74
     exacerbated
    0.73
     desperation
    0.73
     unprepared
    0.72
    Activations Density 0.730%

    No Known Activations