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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. 3265
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    Explanations

    information related to nuclear reactors, including mentions of meltdowns

    oai_token-act-pair · gpt-3.5-turbo

    references to nuclear reactors and their operational status

    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
    ãĤĭ
    -0.72
    words
    -0.72
    boxing
    -0.72
     Scholar
    -0.70
    soft
    -0.68
     IMAGES
    -0.67
    shirt
    -0.66
    yip
    -0.66
    ogle
    -0.65
     Liberties
    -0.64
    POSITIVE LOGITS
     operator
    1.08
     operated
    1.00
     reactors
    0.98
     modernization
    0.97
     operators
    0.95
     reactor
    0.94
    utonium
    0.90
     wastewater
    0.90
     construction
    0.85
     servicing
    0.85
    Activations Density 0.163%

    No Known Activations