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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. 946
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    Explanations

    dates in the format "Month day"

    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically the occurrences of "March" and "April" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    lder
    -0.72
     quot
    -0.67
     tray
    -0.62
     constitu
    -0.62
     tox
    -0.60
    gone
    -0.59
     sacrific
    -0.59
    folios
    -0.59
    itaire
    -0.58
     proble
    -0.57
    POSITIVE LOGITS
     Madness
    1.31
    ing
    0.92
    nard
    0.90
    yard
    0.86
    rd
    0.85
     Hare
    0.83
    onna
    0.82
     2019
    0.81
    riage
    0.80
     31
    0.79
    Activations Density 0.027%

    No Known Activations