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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. 9-RES-JB
    11. 8965
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    Explanations

    dates, specifically in the format of a month followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    specific dates or months mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.80
     behavi
    -0.72
     destro
    -0.70
    ļéĨĴ
    -0.66
     multiplying
    -0.66
     careless
    -0.64
     looph
    -0.64
     Palestin
    -0.63
     basket
    -0.63
     suitcase
    -0.59
    POSITIVE LOGITS
     29
    1.02
     27
    0.97
     08
    0.96
     07
    0.96
     28
    0.96
     04
    0.96
     03
    0.95
     23
    0.94
     06
    0.93
     21
    0.92
    Activations Density 0.045%

    No Known Activations