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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. 8-RES-JB
    11. 14272
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    Explanations

    future tense statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future events or expectations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    plug
    -0.64
    zer
    -0.62
    era
    -0.62
    buster
    -0.59
    oot
    -0.59
    strip
    -0.58
    irs
    -0.58
    wise
    -0.57
    tip
    -0.57
    lish
    -0.56
    POSITIVE LOGITS
     plenty
    1.19
     ample
    0.98
     no
    0.94
     lots
    0.93
     some
    0.85
     alot
    0.83
    ample
    0.82
     enough
    0.82
     tons
    0.81
     exceptions
    0.81
    Activations Density 0.048%

    No Known Activations