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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 5044
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    Explanations

    locations or events where people were present or participated

    oai_token-act-pair · gpt-3.5-turbo

    locations and contexts of actions

    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
     ÎĶ
    -0.62
    Serv
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     mosaic
    -0.61
     mantle
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     sucks
    -0.60
     descendants
    -0.60
    onto
    -0.59
     gimmick
    -0.59
     cred
    -0.59
     SVG
    -0.59
    POSITIVE LOGITS
    kj
    0.72
    aug
    0.66
     Arkham
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    seeing
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    eking
    0.64
    apor
    0.63
    liest
    0.62
     Bagg
    0.62
    esp
    0.62
    asonable
    0.61
    Activations Density 0.184%

    No Known Activations