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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. 3-RES-JB
    11. 45
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    Explanations

    mentions of individuals holding positions such as co-chair or chair

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with leadership roles or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.79
     dense
    -0.70
     earthqu
    -0.70
     encrypted
    -0.70
     intercepted
    -0.69
     fragmented
    -0.68
     fractured
    -0.67
     unprotected
    -0.67
     bom
    -0.66
     chilled
    -0.65
    POSITIVE LOGITS
    chair
    1.56
    Chair
    1.12
    chairs
    1.08
    mere
    0.96
    otle
    0.94
    friend
    0.88
    man
    0.88
    arten
    0.88
    stand
    0.87
    bro
    0.84
    Activations Density 0.005%

    No Known Activations