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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. 11-RES-JB
    11. 21224
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    Explanations

    phrases related to newspaper articles or editorial statements

    oai_token-act-pair · gpt-3.5-turbo

    references to notable publications and editorial statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merga
    -0.80
     EEG
    -0.78
    EStream
    -0.74
    Training
    -0.70
    ECD
    -0.69
    alsa
    -0.68
    etooth
    -0.68
    lyak
    -0.68
    \\\\
    -0.68
    youtu
    -0.66
    POSITIVE LOGITS
     editorial
    1.85
     editors
    1.77
     Editorial
    1.72
     editor
    1.70
     publisher
    1.63
     publication
    1.62
     columnist
    1.61
     Editors
    1.56
     newspaper
    1.56
     readers
    1.55
    Activations Density 0.664%

    No Known Activations