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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. 3448
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    INDEX
    Explanations

    positive emotional words or sentiments, particularly focused on love and affection

    oai_token-act-pair · gpt-3.5-turbo

    references to emotions, particularly related to hearts and feelings

    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 - love

    No Comments

    Negative Logits
    ression
    -0.67
    Recomm
    -0.66
    Delivery
    -0.65
    ressive
    -0.63
    ECH
    -0.62
    ron
    -0.62
    rav
    -0.60
    redo
    -0.59
    Relations
    -0.58
     elim
    -0.58
    POSITIVE LOGITS
    chool
    1.57
    paces
    1.49
    pace
    1.37
    mith
    1.35
    creen
    1.33
    ystem
    1.26
    hips
    1.26
    pring
    1.26
    ynthesis
    1.20
    hip
    1.19
    Activations Density 0.086%

    No Known Activations