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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
    11. 7454
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    Explanations

    mocking or simulation-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to mock drafts

    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
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    Negative Logits
     violet
    -0.71
    ettel
    -0.65
     arrang
    -0.64
    metic
    -0.62
    GV
    -0.61
     toget
    -0.61
     vested
    -0.61
     [|
    -0.60
     cryst
    -0.60
    20439
    -0.60
    POSITIVE LOGITS
     Mock
    1.29
     mock
    1.05
    ito
    0.88
    eries
    0.83
    ingly
    0.80
    ument
    0.79
    ery
    0.79
    ety
    0.78
    atory
    0.78
    crow
    0.75
    Activations Density 0.007%

    No Known Activations