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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. 8-RES-JB
    11. 14533
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    Explanations

    phrases indicating personal thoughts, opinions, or reflections

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying personal reflections or significant experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usha
    -0.69
    ournal
    -0.67
     WTC
    -0.67
     Hamb
    -0.66
    rift
    -0.61
    raft
    -0.61
    asers
    -0.60
     Marks
    -0.60
     Explos
    -0.60
     Robots
    -0.60
    POSITIVE LOGITS
     sorely
    0.96
     aspire
    0.85
    foreseen
    0.77
    abouts
    0.77
     regretted
    0.76
     cherish
    0.75
     gladly
    0.73
    ģĸ
    0.73
     envy
    0.72
    ï¸ı
    0.71
    Activations Density 0.257%

    No Known Activations