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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to natural disasters, particularly tsunamis

    oai_token-act-pair · gpt-3.5-turbo

    references to tsunamis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.94
    atem
    -0.92
    eem
    -0.89
    tein
    -0.88
    orate
    -0.84
    tained
    -0.82
    ternity
    -0.81
    bable
    -0.80
    pring
    -0.79
    bah
    -0.78
    POSITIVE LOGITS
     inund
    1.02
     tsunami
    1.01
     tsun
    0.94
     avalanche
    0.89
     eruption
    0.85
     iceberg
    0.84
     Irma
    0.81
     earthqu
    0.79
     flooding
    0.78
     Typhoon
    0.76
    Activations Density 0.013%

    No Known Activations