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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. 14355
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    Explanations

    years mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2018

    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
    arist
    -0.84
    iques
    -0.80
    hes
    -0.74
    ness
    -0.74
    iasis
    -0.73
    achu
    -0.70
    immer
    -0.69
    rarily
    -0.68
    este
    -0.67
    warts
    -0.66
    POSITIVE LOGITS
    å¹
    0.76
     expiration
    0.73
     onwards
    0.69
    lled
    0.68
    etheus
    0.65
    HUD
    0.65
    entric
    0.64
     midterm
    0.63
     deadline
    0.62
    aimon
    0.62
    Activations Density 0.024%

    No Known Activations