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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1490
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    Explanations

    phrases related to research findings or experimental results

    oai_token-act-pair · gpt-3.5-turbo

    references to experimental or survey outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cer
    -0.69
    capital
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    eways
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     hopping
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    kers
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    oos
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    ACP
    -0.62
    vid
    -0.62
     leisure
    -0.61
     Rim
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    POSITIVE LOGITS
     results
    1.13
    results
    1.10
    Results
    1.01
     result
    0.93
     Results
    0.92
    result
    0.85
    iments
    0.83
    ĸļ
    0.76
    ULTS
    0.76
    inct
    0.74
    Activations Density 0.017%

    No Known Activations