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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. 11-RES-JB
    11. 5945
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    Explanations

    numbers indicating a high death toll

    oai_token-act-pair · gpt-3.5-turbo

    mentions of death tolls and casualties in violent events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Username
    -0.73
    NetMessage
    -0.71
    âķIJ
    -0.71
    flush
    -0.67
    ãĤ´ãĥ³
    -0.62
     deletion
    -0.58
    ennial
    -0.57
     QUEST
    -0.57
     COURT
    -0.57
     GREEN
    -0.56
    POSITIVE LOGITS
     people
    1.22
     bystanders
    1.17
     innocent
    1.10
     pedestrians
    1.08
     civilians
    1.06
     innoc
    1.06
     persons
    1.01
     passers
    0.96
     hostages
    0.94
     policemen
    0.91
    Activations Density 0.097%

    No Known Activations