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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. 3-RES-JB
    6. 10990
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    INDEX
    Explanations

    phrases related to emotional states, particularly feelings of happiness and satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - joy

    No Comments

    Negative Logits
    DoS
    -0.76
    artifacts
    -0.72
    heat
    -0.71
    sites
    -0.71
    method
    -0.69
    arin
    -0.68
    ents
    -0.68
    ngth
    -0.67
    Downloadha
    -0.67
    ciplinary
    -0.67
    POSITIVE LOGITS
    joy
    0.90
    vale
    0.80
     happy
    0.80
     birthday
    0.78
    istic
    0.72
     âĶľ
    0.72
     Meal
    0.70
     endings
    0.65
    iliate
    0.65
    omas
    0.65
    Activations Density 0.021%

    No Known Activations