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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 24434
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    Explanations

    References to individuals being arrested

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "arrested" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     enthus
    -0.77
    vironment
    -0.75
    emonic
    -0.73
    morrow
    -0.70
    clerosis
    -0.68
     Remastered
    -0.68
    lag
    -0.67
    WE
    -0.65
    urgical
    -0.65
     preference
    -0.64
    POSITIVE LOGITS
     arrested
    0.99
     arrest
    0.93
     arrests
    0.85
     apprehended
    0.83
     wiret
    0.76
     nab
    0.75
     handcuffed
    0.74
     detained
    0.72
     Arrest
    0.71
     decriminal
    0.69
    Activations Density 0.018%

    No Known Activations