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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. 24571
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    Explanations

    phrases related to achieving success or reaching a goal

    oai_token-act-pair · gpt-3.5-turbo

    discussions about achieving goals and addressing challenges

    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
    Kids
    -0.81
    Copyright
    -0.73
    Favorite
    -0.72
     jokes
    -0.72
    Legend
    -0.70
    ï¸ı
    -0.69
     bible
    -0.68
     haha
    -0.67
     pics
    -0.66
     STD
    -0.65
    POSITIVE LOGITS
     fundamentally
    1.05
     constrained
    1.03
     envis
    0.99
     economically
    0.94
     asymm
    0.90
     weakening
    0.89
     destabil
    0.88
     decisively
    0.87
    ilibrium
    0.87
     finite
    0.85
    Activations Density 1.143%

    No Known Activations