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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. 7138
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    Explanations

    references to medical conditions or emergencies in news contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was" indicating past events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.78
     entails
    -0.74
    ð
    -0.72
     Highlights
    -0.72
    ãĥķãĤ¡
    -0.71
    olon
    -0.69
     ç¥ŀ
    -0.69
     Preferences
    -0.67
    poll
    -0.66
     Which
    -0.65
    POSITIVE LOGITS
     supposed
    0.99
     arra
    0.98
     able
    0.94
     arrested
    0.93
     contacted
    0.93
     sentenced
    0.93
     transported
    0.91
     hospitalized
    0.91
     alerted
    0.91
     spotted
    0.90
    Activations Density 0.292%

    No Known Activations