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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. 18352
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    Explanations

    dates and associated information such as times and locations within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to dates and times

    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
    Others
    -0.59
    shapeshifter
    -0.58
    ened
    -0.54
     recent
    -0.53
    (-
    -0.53
    plot
    -0.52
    ((
    -0.52
     Flask
    -0.52
    keyes
    -0.52
    fried
    -0.51
    POSITIVE LOGITS
     pione
    0.79
     PDT
    0.77
     Accessed
    0.72
     hrs
    0.71
     EDT
    0.69
    assetsadobe
    0.69
     wherein
    0.66
     UTC
    0.66
    trl
    0.66
     laun
    0.65
    Activations Density 0.090%

    No Known Activations