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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. 11-RES-JB
    11. 12885
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    Explanations

    words related to negative emotions or attitudes like contempt, disdain, hatred, and affinity

    oai_token-act-pair · gpt-3.5-turbo

    strong emotional responses, particularly negative feelings like contempt and hatred, as well as positive feelings like fondness and appreciation

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    eor
    -0.71
     skelet
    -0.67
     Proced
    -0.61
     helicop
    -0.60
    ueller
    -0.59
     investig
    -0.57
    byter
    -0.57
     Ceres
    -0.56
    eworks
    -0.56
    err
    -0.55
    POSITIVE LOGITS
     for
    1.08
     towards
    1.06
     toward
    1.03
     affair
    0.86
    uous
    0.77
     FOR
    0.76
    lust
    0.76
    rence
    0.75
     For
    0.74
    for
    0.74
    Activations Density 0.155%

    No Known Activations