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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. 11-RES-JB
    6. 8946
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    INDEX
    Explanations

    positive sentiments and expressions of satisfaction or happiness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness and satisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 11 - joy

    No Comments

    Negative Logits
     sovere
    -0.62
     obscure
    -0.59
    SPONSORED
    -0.58
     disinformation
    -0.58
     grievances
    -0.57
     Inqu
    -0.56
     warnings
    -0.56
     emergencies
    -0.56
    soDeliveryDate
    -0.56
     jargon
    -0.55
    POSITIVE LOGITS
     thanks
    0.96
     :)
    0.92
    !!
    0.86
    !
    0.85
     :-)
    0.84
    thanks
    0.84
     nonetheless
    0.83
     ðŁĻĤ
    0.82
    !"
    0.82
    !!"
    0.80
    Activations Density 0.521%

    No Known Activations