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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. 11-RES-JB
    11. 5832
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    INDEX
    Explanations

    mentions of specific names or identifiers, potentially related to law enforcement or personal information

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to individuals or entities involved in events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dunham
    -0.89
     WA
    -0.86
     ham
    -0.79
     Kash
    -0.78
     Kats
    -0.75
    wang
    -0.71
     Bud
    -0.71
     beck
    -0.70
     Berks
    -0.70
     Kate
    -0.70
    POSITIVE LOGITS
    ic
    1.74
    IC
    1.61
    ici
    1.42
     ic
    1.38
     Ric
    1.35
    Nic
    1.35
    nic
    1.34
    icc
    1.34
    ics
    1.34
    ico
    1.27
    Activations Density 0.240%

    No Known Activations