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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. 5-RES-JB
    6. 1255
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    INDEX
    Explanations

    phrases related to happiness and satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness and positive sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 5 - happiness

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.82
    soDeliveryDate
    -0.81
    Wan
    -0.76
    ngth
    -0.72
     alters
    -0.68
    hill
    -0.64
    aredevil
    -0.61
    士
    -0.60
    orno
    -0.60
    ware
    -0.60
    POSITIVE LOGITS
    whel
    0.68
    clus
    0.63
    cel
    0.62
     applaud
    0.62
    rix
    0.61
     Frog
    0.61
    ovy
    0.60
    iola
    0.60
    idays
    0.59
     Ribbon
    0.59
    Activations Density 0.136%

    No Known Activations