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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. 9-RES-JB
    11. 3780
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    Explanations

    positive emotional expressions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apons
    -0.76
    è£
    -0.74
    asus
    -0.67
    mage
    -0.66
    rongh
    -0.65
    ictionary
    -0.65
    asc
    -0.64
    Fac
    -0.63
    ociate
    -0.60
    TextColor
    -0.60
    POSITIVE LOGITS
     seeing
    1.10
     knowing
    0.97
     watching
    0.87
     coincidence
    0.81
     feeling
    0.80
     hearing
    0.79
     remembering
    0.77
     smelling
    0.75
    weet
    0.74
     witnessing
    0.72
    Activations Density 0.185%

    No Known Activations