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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. 9-RES-JB
    11. 5476
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    oai_token-act-pair · gpt-3.5-turbo

    repeatedly occurring empty segments or placeholders in a document

    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
    ],"
    -0.80
    uminati
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    umbn
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    âĹ¼
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    ]),
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    docker
    -0.61
     Mehran
    -0.61
    )",
    -0.60
    "—
    -0.59
    agascar
    -0.59
    POSITIVE LOGITS
    ONSORED
    0.79
    eday
    0.78
    ogether
    0.77
    sequently
    0.73
    udos
    0.71
    ensibly
    0.71
    itionally
    0.68
     agrees
    0.68
    hetically
    0.67
    ately
    0.65
    Activations Density 0.403%

    No Known Activations