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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 16021
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    Explanations

    words related to the emotion of strong dislike or hatred, typically with an emphasis on the emotion of hatred

    oai_token-act-pair · gpt-3.5-turbo

    words related to love and relationships

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ulum
    -0.70
     Robbins
    -0.64
    alt
    -0.64
     Wrong
    -0.64
     Greens
    -0.63
     MO
    -0.61
     Luna
    -0.60
     Lum
    -0.56
     Rout
    -0.55
    Occ
    -0.54
    POSITIVE LOGITS
    athed
    1.04
    creen
    1.00
    代
    0.93
    adoes
    0.91
    76561
    0.89
    athe
    0.85
    aths
    0.85
    rette
    0.84
    gling
    0.82
    fully
    0.82
    Activations Density 0.016%

    No Known Activations