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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. 9-RES-JB
    11. 10340
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    Explanations

    terms related to academic positions, particularly "professor"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of professors and their titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.67
     Pradesh
    -0.67
    OPA
    -0.65
    tera
    -0.62
     deployment
    -0.61
    BAT
    -0.61
     spont
    -0.61
    axy
    -0.61
    MSN
    -0.60
    ãĥ¼ãĥ³
    -0.60
    POSITIVE LOGITS
    essors
    1.31
     emer
    1.27
    essor
    1.03
    iate
    0.96
    hips
    0.95
    itatively
    0.92
    ials
    0.91
     specializing
    0.88
     Emer
    0.85
    ially
    0.85
    Activations Density 0.049%

    No Known Activations