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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18226
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    Explanations

    keywords related to catastrophic events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to catastrophic events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.79
    Ģ
    -0.77
    endo
    -0.77
    ī
    -0.76
    Ķ
    -0.75
    uay
    -0.75
    spring
    -0.73
    alties
    -0.73
    rahim
    -0.73
    NSA
    -0.73
    POSITIVE LOGITS
     catastrophic
    1.10
     catast
    1.04
     catastrophe
    1.02
     disasters
    0.89
     meltdown
    0.86
     calam
    0.85
     devast
    0.83
     disaster
    0.83
     nightmares
    0.82
     crashes
    0.81
    Activations Density 0.010%

    No Known Activations