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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. 16078
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    Explanations

    words related to formal communication and titles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of formal titles and acknowledgments in a context of communication

    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
    interstitial
    -0.75
    spawn
    -0.73
     confir
    -0.70
     liking
    -0.69
    entimes
    -0.69
     messing
    -0.68
     sparing
    -0.67
     peril
    -0.67
    etheless
    -0.66
    conservancy
    -0.66
    POSITIVE LOGITS
     Catherine
    1.20
     Deborah
    1.19
     Cynthia
    1.19
     William
    1.19
     Kenneth
    1.18
     David
    1.17
     Peter
    1.17
     Katherine
    1.16
     Richard
    1.15
     Timothy
    1.15
    Activations Density 0.245%

    No Known Activations