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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
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    Explanations

    years, particularly the year 2012

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2012, particularly in various contexts

    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
    merce
    -0.89
    anooga
    -0.83
    phy
    -0.78
     cumbers
    -0.77
    imore
    -0.76
    avascript
    -0.76
    unin
    -0.72
    onite
    -0.72
    elong
    -0.71
    semb
    -0.69
    POSITIVE LOGITS
    å¹
    0.92
     onwards
    0.84
    -'
    0.81
    20439
    0.80
    nd
    0.73
    2020
    0.71
    1001
    0.67
     onward
    0.67
    cens
    0.67
    bard
    0.66
    Activations Density 0.025%

    No Known Activations