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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. 2-RES-JB
    11. 5700
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    Explanations

    exclamatory expressions indicating strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks, specifically exclamation points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cible
    -0.77
    atories
    -0.72
    cific
    -0.69
    ativity
    -0.68
    lining
    -0.67
     lion
    -0.64
    athering
    -0.64
     path
    -0.64
     lions
    -0.63
     prost
    -0.62
    POSITIVE LOGITS
    !!!!!
    1.34
    !!!
    1.27
    !!
    1.21
     :-)
    1.07
    !!!!
    1.01
    !/
    0.99
     ;)
    0.97
     :)
    0.97
    ?!
    0.96
    ??
    0.93
    Activations Density 0.015%

    No Known Activations