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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. 19062
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    Explanations

    events or occasions that are scheduled to happen or have already taken place

    oai_token-act-pair · gpt-3.5-turbo

    references to scheduled events or meetings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ipedia
    -0.70
    ickets
    -0.70
    definition
    -0.68
     grou
    -0.68
    acked
    -0.65
    ould
    -0.63
    username
    -0.63
    help
    -0.62
    oug
    -0.62
    apo
    -0.61
    POSITIVE LOGITS
     concurrently
    0.79
    actionDate
    0.78
    uate
    0.77
     amidst
    0.74
    essage
    0.70
     during
    0.68
    rogens
    0.66
    âĹ¼
    0.66
    rences
    0.65
     anew
    0.65
    Activations Density 0.038%

    No Known Activations