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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. 12-RES-JB
    11. 5066
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    Explanations

    names of specific individuals, possibly celebrities or famous personalities

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    names of people, particularly those with the suffix "ie" or "y"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aic
    -0.78
    ine
    -0.75
    rans
    -0.75
    utter
    -0.75
    isol
    -0.73
    hent
    -0.73
    egal
    -0.72
    ind
    -0.72
    atch
    -0.71
    inal
    -0.70
    POSITIVE LOGITS
     Alger
    0.89
     McGu
    0.87
     Morton
    0.87
     Mouse
    0.86
     Robinson
    0.85
     Lump
    0.85
     Rogers
    0.84
     Keane
    0.83
     Chung
    0.81
     Romero
    0.81
    Activations Density 0.095%

    No Known Activations