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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. 7-RES-JB
    6. 16895
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    Explanations

    actions related to organizing events or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to participation in events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     »
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    .</
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    Rat
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    Image
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    SPONSORED
    -0.61
    Anyway
    -0.61
     },
    -0.60
    ItemThumbnailImage
    -0.60
    IPS
    -0.60
    .*
    -0.59
    POSITIVE LOGITS
    stanbul
    0.64
     frust
    0.62
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    0.61
    reditary
    0.60
    nsic
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    arij
    0.60
    anwhile
    0.58
    rontal
    0.57
    Activations Density 0.459%

    No Known Activations