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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. 5729
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    Explanations

    dates mentioned in tweets and statements

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in the text

    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
     cooperative
    -0.71
     unexpl
    -0.68
     periodic
    -0.67
     beds
    -0.65
     clipboard
    -0.61
     hospitality
    -0.61
     multic
    -0.61
     unpredictable
    -0.60
     charm
    -0.60
     numbered
    -0.60
    POSITIVE LOGITS
     Tweet
    0.72
     RELEASE
    0.70
     âĨij
    0.69
    à¼
    0.68
    [/
    0.68
    Reviewed
    0.67
     Originally
    0.67
    ril
    0.67
    VERTISEMENT
    0.65
    advertising
    0.64
    Activations Density 0.025%

    No Known Activations