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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
    11. 15378
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    Explanations

    years in the early 2000s

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2002 and related numerical data

    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
    ledged
    -0.76
    stakes
    -0.72
    utters
    -0.64
    hed
    -0.64
     lawy
    -0.62
    warts
    -0.62
    attled
    -0.62
    hma
    -0.61
    andering
    -0.61
    oÄŁ
    -0.60
    POSITIVE LOGITS
    ĸļ
    0.88
    -'
    0.83
    å¹
    0.79
     onwards
    0.73
     Rwanda
    0.67
     Fuk
    0.64
    lishes
    0.63
    ogue
    0.62
    enaries
    0.62
    aeda
    0.61
    Activations Density 0.020%

    No Known Activations