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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. 10014
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe types or categories of situations or things

    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
    Not in Any Lists

    No Comments

    Negative Logits
    /,
    -0.64
     VIDEOS
    -0.62
    heid
    -0.59
    rawdownloadcloneembedreportprint
    -0.57
    ilaterally
    -0.57
    çīĪ
    -0.56
    aimon
    -0.56
     Bars
    -0.56
    ORY
    -0.55
    agnar
    -0.55
    POSITIVE LOGITS
    liest
    0.97
    etting
    0.87
    lihood
    0.83
    est
    0.77
    linger
    0.73
     of
    0.68
    hest
    0.68
    ridges
    0.67
    hearted
    0.67
    hots
    0.66
    Activations Density 0.033%

    No Known Activations