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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. 896
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    soDeliveryDate
    -0.80
     Ys
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     carts
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    regon
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     polyg
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     Bagg
    -0.63
     Pyramid
    -0.62
     Jiu
    -0.61
     simulator
    -0.59
     simulation
    -0.59
    POSITIVE LOGITS
    status
    0.73
    cence
    0.65
    ussion
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    185
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    coming
    0.63
    condition
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    uncture
    0.62
    adish
    0.61
    ulence
    0.61
    kees
    0.60
    Activations Density 0.024%

    No Known Activations