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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23524
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    Explanations

    news correspondents and journalists

    oai_token-act-pair · gpt-3.5-turbo

    references to journalists or media correspondents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    liga
    -0.82
    perm
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    ensions
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    illard
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    achev
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    ¥ŀ
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    istry
    -0.71
    wagen
    -0.70
    lap
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    heed
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    POSITIVE LOGITS
     Jonah
    0.82
     laureate
    0.80
     journalist
    0.80
     Seymour
    0.76
     reporter
    0.76
     interviewer
    0.74
     columnist
    0.74
    ial
    0.74
     Juliet
    0.73
    ially
    0.73
    Activations Density 0.055%

    No Known Activations