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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. 7-RES-JB
    11. 21130
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    Explanations

    references to global entities and activities involving collaboration or widespread influence

    oai_token-act-pair · gpt-3.5-turbo

    references to worldwide collaboration and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boun
    -0.66
    /+
    -0.66
     correction
    -0.63
    =/
    -0.63
     bounces
    -0.63
     Resurrection
    -0.61
     Ends
    -0.60
     zo
    -0.60
    ipop
    -0.60
     {*
    -0.60
    POSITIVE LOGITS
     alike
    1.15
     collectively
    1.13
     converge
    0.97
     conver
    0.95
     respectively
    0.93
     attest
    0.89
     clam
    0.87
     united
    0.85
     unanimously
    0.85
    together
    0.81
    Activations Density 0.490%

    No Known Activations