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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. 0-RES-JB
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    Explanations

    mentions of founders

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals identified as founders of various organizations or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swing
    -0.70
    ulated
    -0.67
    rations
    -0.60
    ances
    -0.60
    ulation
    -0.59
    EMS
    -0.58
    ulp
    -0.57
    oles
    -0.57
    spection
    -0.57
     Hazard
    -0.57
    POSITIVE LOGITS
     founder
    3.43
     Founder
    2.51
     founders
    2.42
    founder
    2.21
     founding
    1.82
     creator
    1.74
     CEO
    1.71
     inventor
    1.51
     owner
    1.48
     pioneer
    1.47
    Activations Density 0.018%

    No Known Activations