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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. 8-RES-JB
    11. 1980
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    Explanations

    terms related to controversy, actions, and impactful events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to oppression and systemic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •single token firings
    Fires pretty strongly on " substitution", " diversion", " extermination", "affirmation", " amplification", etc

    No Comments

    Negative Logits
    resp
    -0.81
    enegger
    -0.80
    ordinate
    -0.78
    uate
    -0.74
    pered
    -0.73
    bold
    -0.69
    overe
    -0.68
    gerald
    -0.66
    igmatic
    -0.66
    ington
    -0.66
    POSITIVE LOGITS
    ary
    1.06
     thereof
    0.98
    ist
    0.97
    ism
    0.95
     process
    0.94
    ists
    0.91
    eering
    0.88
     mechanism
    0.85
    ISM
    0.79
     technique
    0.79
    Activations Density 0.487%

    No Known Activations