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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. 11769
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    Explanations

    settings or situations that promote collaboration and togetherness, often involving sharing meals or engaging in creative projects

    oai_token-act-pair · gpt-3.5-turbo

    statements reflecting positive social interactions and experiences

    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
     Worse
    -0.85
     disastrous
    -0.77
     unsuccessfully
    -0.76
     overest
    -0.70
     botched
    -0.70
     pse
    -0.68
     Fenrir
    -0.68
    ©¶æ¥µ
    -0.67
     Clause
    -0.67
     leaked
    -0.67
    POSITIVE LOGITS
     vibe
    1.08
     solitude
    1.03
     enjoyment
    1.00
     fun
    0.99
     comr
    0.96
     joy
    0.96
     welcoming
    0.94
     enjoyable
    0.94
     joyful
    0.93
     vib
    0.93
    Activations Density 0.654%

    No Known Activations