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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. 12960
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    Explanations

    phrases related to lists and recommendations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the existence of problems or issues

    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
    chairs
    -0.77
    Tonight
    -0.71
    thening
    -0.67
    _____
    -0.65
    aire
    -0.65
    Enlarge
    -0.64
     reaches
    -0.63
    Begin
    -0.63
    [
    -0.62
    Before
    -0.61
    POSITIVE LOGITS
    tainment
    0.66
     perennial
    0.64
     tremend
    0.63
     pesky
    0.62
     perenn
    0.61
     Protection
    0.61
     obligatory
    0.61
     Tatt
    0.60
    xual
    0.60
    sembly
    0.60
    Activations Density 0.161%

    No Known Activations