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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. 5628
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    Explanations

    phrases related to causing widespread attention or outrage

    oai_token-act-pair · gpt-3.5-turbo

    words related to events that trigger significant reactions or controversies

    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
    éĸ
    -0.77
    çĦ
    -0.73
    ishi
    -0.68
    oped
    -0.67
    ta
    -0.67
    ared
    -0.67
    atum
    -0.66
    itte
    -0.65
    esan
    -0.65
     rendered
    -0.65
    POSITIVE LOGITS
     outcry
    1.01
     controversy
    1.01
     outrage
    0.98
     suspicions
    0.97
     speculation
    0.94
     laughter
    0.93
     uproar
    0.92
     ire
    0.89
     warnings
    0.89
     applause
    0.88
    Activations Density 0.093%

    No Known Activations