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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. 13345
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    Explanations

    words related to surprising or shocking events

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to feelings of shock or surprise

    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
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    No Comments

    Negative Logits
    ©¶æ
    -0.72
     extracted
    -0.70
    porary
    -0.70
    illusion
    -0.69
    chwitz
    -0.65
    wcsstore
    -0.64
    uben
    -0.63
    angible
    -0.62
     payoff
    -0.61
     dimension
    -0.61
    POSITIVE LOGITS
     onlook
    1.20
    ingly
    1.20
     us
    0.96
     passers
    0.94
     me
    0.90
     readers
    0.87
     audiences
    0.87
     observers
    0.85
     anyone
    0.83
     sensibilities
    0.82
    Activations Density 0.180%

    No Known Activations