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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of a specific religious or cultural group ending in 'arian'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "arian" ideologies or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    same
    -0.72
    bring
    -0.67
    pressure
    -0.66
    tub
    -0.66
    entry
    -0.65
    pty
    -0.65
    redd
    -0.65
    icket
    -0.65
    stakes
    -0.64
    porary
    -0.63
    POSITIVE LOGITS
    arian
    1.28
    arians
    1.00
    ism
    0.94
    ity
    0.93
    amental
    0.86
    itarian
    0.85
    ical
    0.82
    ically
    0.82
    cies
    0.76
    ization
    0.76
    Activations Density 0.013%

    No Known Activations