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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. 12-RES-JB
    11. 2412
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    INDEX
    Explanations

    information related to team dynamics and lineup adjustments in a competitive setting

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    punctuations and other syntactical markers that structure the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ¥ŀ
    -0.79
     volunte
    -0.74
     unbeat
    -0.74
     irresistible
    -0.74
     brill
    -0.73
     insepar
    -0.73
    htaking
    -0.71
     enriched
    -0.70
     disemb
    -0.70
     bonded
    -0.69
    POSITIVE LOGITS
     Therefore
    1.27
    Therefore
    1.25
     Additionally
    1.21
     Consequently
    1.13
     Furthermore
    1.13
     Secondly
    1.11
    Additionally
    1.08
    Secondly
    1.06
     Hence
    1.05
     Luckily
    1.04
    Activations Density 0.841%

    No Known Activations