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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. 1558
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    INDEX
    Explanations

    phrases indicating expectations or demands

    oai_token-act-pair · gpt-3.5-turbo

    quotes or speech attributed to political figures

    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
     Mehran
    -0.80
    ItemTracker
    -0.70
     Applications
    -0.67
     listings
    -0.66
     Janeiro
    -0.65
     sshd
    -0.64
     listing
    -0.64
     dwell
    -0.63
     printer
    -0.63
     Unicode
    -0.62
    POSITIVE LOGITS
    too
    0.91
    danger
    0.91
    absolutely
    0.91
    Interstitial
    0.90
    appropriate
    0.89
    highly
    0.85
    Absolutely
    0.84
    thank
    0.83
    uns
    0.83
    no
    0.82
    Activations Density 0.034%

    No Known Activations