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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
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    Explanations

    mentions of hats

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hat."

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ateral
    -0.70
    interstitial
    -0.66
     UNIVERS
    -0.65
    theless
    -0.65
     CLS
    -0.64
     Supplementary
    -0.64
     Diagn
    -0.64
    houn
    -0.63
     Integ
    -0.63
    ¥ŀ
    -0.63
    POSITIVE LOGITS
    chet
    1.40
    chery
    1.29
     hat
    1.09
     hats
    1.06
    cher
    0.99
    ches
    0.99
     brim
    0.98
    glers
    0.95
    eless
    0.93
    gey
    0.91
    Activations Density 0.009%

    No Known Activations