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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. 16094
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    Explanations

    references to screens or screen-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to screens or screen-related content

    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
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    Negative Logits
    IGH
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    ghan
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    doms
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     Harriet
    -0.68
    ipop
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    wegian
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    ETH
    -0.65
    shire
    -0.64
    atern
    -0.63
    idays
    -0.62
    POSITIVE LOGITS
     screens
    1.06
    plays
    1.02
     screen
    0.94
    screen
    0.91
    printed
    0.90
     TVs
    0.86
    reens
    0.86
    ãĤ§
    0.85
    Screen
    0.82
     Screen
    0.82
    Activations Density 0.014%

    No Known Activations