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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. 2093
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    Explanations

    words related to errors or mistakes

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes and errors

    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
    azine
    -0.75
    ILA
    -0.70
     GOODMAN
    -0.67
    APTER
    -0.63
    leground
    -0.63
    amaz
    -0.60
    Jr
    -0.60
    pite
    -0.60
    rises
    -0.60
    entary
    -0.60
    POSITIVE LOGITS
     perpetrated
    0.91
     mistakes
    0.86
     prone
    0.85
     careless
    0.83
    fulness
    0.82
     incurred
    0.82
     committed
    0.78
     inflicted
    0.77
     dece
    0.76
     forgiven
    0.76
    Activations Density 0.097%

    No Known Activations