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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. 6-RES-JB
    11. 741
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    Explanations

    references to educational institutions, particularly schools and universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Verse
    -0.73
    cious
    -0.72
    aphael
    -0.67
    hots
    -0.67
     Detected
    -0.67
    htaking
    -0.66
     Helpful
    -0.64
    txt
    -0.64
    haar
    -0.64
    Ô
    -0.63
    POSITIVE LOGITS
     itself
    0.90
    's
    0.86
     solicitor
    0.79
     clerk
    0.79
     treasurer
    0.79
     administrator
    0.78
     superintendent
    0.77
     inspector
    0.76
     owner
    0.75
     attorney
    0.75
    Activations Density 0.229%

    No Known Activations