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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. 3-RES-JB
    11. 16569
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to dates and parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earch
    -0.72
     nightly
    -0.69
     weekly
    -0.69
     grap
    -0.68
    osaurs
    -0.66
     antiv
    -0.66
     swoop
    -0.66
    leep
    -0.66
     everyday
    -0.65
     seasonal
    -0.65
    POSITIVE LOGITS
    âĢ¦)
    1.11
    ...)
    1.09
    ?)
    1.04
    excluding
    1.03
    sic
    1.02
    emphasis
    1.01
    both
    0.99
    optional
    0.96
    via
    0.93
    see
    0.93
    Activations Density 0.149%

    No Known Activations