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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16905
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    Explanations

    sentences or phrases expressing personal reflections or inner thoughts

    oai_token-act-pair · gpt-3.5-turbo

    sentences with emotional reflections and self-awareness

    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
    tesy
    -0.85
     pione
    -0.82
     teasp
    -0.79
     carbohyd
    -0.78
    CVE
    -0.76
    Þ
    -0.75
     distribut
    -0.73
     intended
    -0.72
    affer
    -0.72
    rov
    -0.70
    POSITIVE LOGITS
     Maybe
    1.38
     Eventually
    1.37
     Slowly
    1.34
     Somehow
    1.29
     Suddenly
    1.28
     Sometimes
    1.26
     Something
    1.24
     Especially
    1.24
     Everything
    1.24
     Whatever
    1.24
    Activations Density 0.484%

    No Known Activations