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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. 3-RES-JB
    11. 18114
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    Explanations

    words related to natural or man-made catastrophes

    oai_token-act-pair · gpt-3.5-turbo

    references to disasters and catastrophic events

    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
    yi
    -0.84
    ells
    -0.84
    eton
    -0.83
    kaya
    -0.82
    rab
    -0.79
    clud
    -0.78
    hetti
    -0.75
    orem
    -0.73
    ongyang
    -0.73
    Ģ
    -0.73
    POSITIVE LOGITS
     catast
    1.07
     disaster
    0.93
     Disaster
    0.92
     disasters
    0.86
     Outbreak
    0.85
     engulf
    0.85
     devast
    0.84
    ulence
    0.83
     catastrophe
    0.82
     Survivor
    0.81
    Activations Density 0.014%

    No Known Activations