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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. 4-RES-JB
    11. 6210
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    Explanations

    names of individuals and entities that have been subject to mockery

    oai_token-act-pair · gpt-3.5-turbo

    instances of mocking and ridicule towards people, ideas, or situations

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

    No Comments

    Negative Logits
    enture
    -0.83
     arrang
    -0.83
    inventoryQuantity
    -0.75
     cryst
    -0.74
    ipeg
    -0.73
    ccording
    -0.70
     defic
    -0.69
     indic
    -0.68
     trave
    -0.66
     confir
    -0.64
    POSITIVE LOGITS
     mocking
    0.91
    ously
    0.86
     mockery
    0.85
     mocked
    0.83
     laughter
    0.77
     ridicule
    0.77
    crow
    0.75
    fully
    0.72
     Yiannopoulos
    0.70
     ridic
    0.70
    Activations Density 0.019%

    No Known Activations