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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. 9-RES-JB
    11. 11153
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    Explanations

    terms related to technology and security, particularly focusing on browsing protection and key systems

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic or digital interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     denomin
    -0.54
     prest
    -0.52
     predec
    -0.51
     supplemented
    -0.51
     Moroc
    -0.49
     incorpor
    -0.49
     opio
    -0.47
     latter
    -0.46
     exerc
    -0.46
     eventual
    -0.46
    POSITIVE LOGITS
     onto
    0.69
     into
    0.57
     differently
    0.55
    phies
    0.53
    marks
    0.51
    netflix
    0.50
    coins
    0.50
    >(
    0.50
    RNA
    0.49
    ARS
    0.49
    Activations Density 0.881%

    No Known Activations