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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. 7-RES-JB
    11. 18709
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    Explanations

    years, specifically focused on the year 2018

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2018

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arist
    -0.88
    iasis
    -0.86
    iques
    -0.83
    ype
    -0.76
    hes
    -0.70
    achu
    -0.70
    immer
    -0.68
    riad
    -0.67
    warts
    -0.67
    idem
    -0.67
    POSITIVE LOGITS
     onwards
    0.68
    lled
    0.68
    å¹
    0.67
     Remastered
    0.66
    ctory
    0.65
    aimon
    0.62
    20439
    0.62
     ESV
    0.61
     onward
    0.60
     Cemetery
    0.60
    Activations Density 0.014%

    No Known Activations