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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. 2330
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    Explanations

    phrases related to causing harm or death

    oai_token-act-pair · gpt-3.5-turbo

    references to acts of killing

    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
    ĸļ
    -0.73
    ORY
    -0.67
     Failure
    -0.66
     guiActiveUnfocused
    -0.60
    wcsstore
    -0.59
    taboola
    -0.59
    oday
    -0.59
    soType
    -0.58
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.58
    Cola
    -0.58
    POSITIVE LOGITS
     off
    0.99
    joy
    0.95
     spree
    0.94
     innoc
    0.86
     innocent
    0.85
     civilians
    0.81
     goats
    0.78
     Osama
    0.78
     zombies
    0.78
     indiscrim
    0.77
    Activations Density 0.065%

    No Known Activations