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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. 2-RES-JB
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    Explanations

    names of famous individuals who have been criticized or ridiculed by the public or the media

    oai_token-act-pair · gpt-3.5-turbo

    instances of mockery or ridicule towards individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enture
    -0.76
    efficients
    -0.68
    NetMessage
    -0.67
     arrang
    -0.66
    negie
    -0.65
    arist
    -0.64
    eworks
    -0.64
     nucleus
    -0.62
    metic
    -0.62
    ------------------------------------------------
    -0.61
    POSITIVE LOGITS
     mocking
    1.01
     mocked
    0.98
     mockery
    0.86
     ridicule
    0.86
     laughter
    0.82
     ridic
    0.80
     caric
    0.76
     ridiculed
    0.75
    ously
    0.72
    crow
    0.70
    Activations Density 0.011%

    No Known Activations