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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. 9-RES-JB
    6. 20473
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    Explanations

    phrases related to offering assistance or help

    oai_token-act-pair · gpt-3.5-turbo

    actionable items or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sop
    -0.79
     Info
    -0.74
     Gadget
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     Bot
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    bush
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     weap
    -0.70
     Tanzania
    -0.69
     spo
    -0.68
     STATS
    -0.67
     Sapp
    -0.67
    POSITIVE LOGITS
    ul
    0.99
    ule
    0.99
    urion
    0.95
    NetMessage
    0.92
    uran
    0.91
    UL
    0.91
    catentry
    0.91
    ou
    0.90
    uld
    0.87
    actionDate
    0.87
    Activations Density 0.335%

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