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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. 10-RES-JB
    11. 5646
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arantine
    -0.71
    ught
    -0.70
     assum
    -0.66
     withd
    -0.64
     exha
    -0.62
     proble
    -0.62
     predec
    -0.62
    kef
    -0.61
    keyes
    -0.61
     pree
    -0.60
    POSITIVE LOGITS
     06
    1.10
     29
    1.10
     2018
    1.09
     04
    1.08
     28
    1.06
     05
    1.06
     2017
    1.04
     26
    1.04
     27
    1.04
     31
    1.03
    Activations Density 0.068%

    No Known Activations