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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. 4-RES-JB
    11. 7385
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    Explanations

    dates in the format "Month Day" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically occurrences in March

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

    No Comments

    Negative Logits
     cumbers
    -0.76
    kB
    -0.69
    folios
    -0.68
     unnecess
    -0.67
    lder
    -0.67
     cleansing
    -0.65
    gone
    -0.64
    udging
    -0.64
    itaire
    -0.63
     tox
    -0.62
    POSITIVE LOGITS
     Madness
    1.10
    riage
    0.90
    nard
    0.88
     2019
    0.85
    ing
    0.85
    flower
    0.85
    yard
    0.82
     2015
    0.81
     Arbor
    0.80
    steen
    0.79
    Activations Density 0.021%

    No Known Activations