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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. 23869
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    Explanations

    words or phrases that initiate a call to action, such as "Let us know on Google, Twitter, Facebook, and,"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental concerns and threats

    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
     spinning
    -0.71
    iton
    -0.63
     diving
    -0.63
     naming
    -0.62
     hopping
    -0.62
     Apocalypse
    -0.61
     Trog
    -0.61
    irtual
    -0.60
     Scorp
    -0.60
    ction
    -0.59
    POSITIVE LOGITS
    ³³³³³³³³
    1.20
    ³³³³
    1.07
    ³³³
    1.00
    ³³³³³³³³³³³³³³³³
    0.99
    Posted
    0.94
    posted
    0.85
    sonian
    0.80
    thinkable
    0.79
    INTON
    0.77
    Econom
    0.76
    Activations Density 0.526%

    No Known Activations