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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. 22635
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    Explanations

    verbs indicating a requirement or obligation

    oai_token-act-pair · gpt-3.5-turbo

    directives or requirements emphasizing necessary actions

    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
    MpServer
    -0.76
    catentry
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    Orig
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    road
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    Jun
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    Twe
    -0.63
    Disc
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     Palest
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    Enh
    -0.61
    Kal
    -0.61
    POSITIVE LOGITS
     beware
    0.87
     yourself
    0.80
     understand
    0.73
     specify
    0.72
     KNOW
    0.71
     HAVE
    0.71
     know
    0.71
     choose
    0.71
     learn
    0.70
     configure
    0.70
    Activations Density 0.196%

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