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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. 7-RES-JB
    6. 14723
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    INDEX
    Explanations

    phrases related to marking or emphasizing specific points

    oai_token-act-pair · gpt-3.5-turbo

    elements related to celebration and positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     volunte
    -0.66
     submerged
    -0.66
    keye
    -0.64
    tesy
    -0.63
     compr
    -0.62
     wagon
    -0.62
    ="/
    -0.61
    perty
    -0.61
     eligibility
    -0.61
     mosqu
    -0.60
    POSITIVE LOGITS
     Because
    1.02
     Absolutely
    0.99
     Fuck
    0.96
     Literally
    0.94
     Happ
    0.93
    org
    0.93
     Seriously
    0.92
     Kills
    0.92
     That
    0.90
     Subtle
    0.90
    Activations Density 0.221%

    No Known Activations