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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. 22733
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    Explanations

    words related to heartfelt emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions related to sincerity and depth of feeling

    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
    Not in Any Lists

    No Comments

    Negative Logits
    busters
    -0.71
    ingo
    -0.71
    gate
    -0.71
    ovan
    -0.71
    rival
    -0.70
    slave
    -0.69
    aic
    -0.68
    atu
    -0.68
    plant
    -0.68
    rir
    -0.67
    POSITIVE LOGITS
     conversation
    0.80
     enough
    0.78
     speeches
    0.76
     voices
    0.76
     discussion
    0.75
     souls
    0.70
     minded
    0.70
     curiosity
    0.69
     sounding
    0.69
     applause
    0.69
    Activations Density 0.081%

    No Known Activations