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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. 10-RES-JB
    11. 12648
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    Explanations

    instances of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating taking action or doing something, often in contexts that imply wrongdoing or correction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aten
    -0.72
    being
    -0.69
    bda
    -0.68
    aturated
    -0.66
     sshd
    -0.65
    ardi
    -0.64
    ockets
    -0.63
    phe
    -0.63
    acked
    -0.62
    ipel
    -0.62
    POSITIVE LOGITS
     wrong
    1.07
     proactive
    1.00
     differently
    0.99
     stupid
    0.97
     unethical
    0.96
     crazy
    0.95
    wrong
    0.94
     worthwhile
    0.92
     drastic
    0.92
     naughty
    0.88
    Activations Density 0.083%

    No Known Activations