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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. 10-RES-JB
    11. 6021
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    Explanations

    the word "ordinary" or phrases related to ordinary people

    oai_token-act-pair · gpt-3.5-turbo

    references to ordinary people and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rogram
    -0.74
    riott
    -0.71
    emb
    -0.69
    tein
    -0.66
    utra
    -0.65
    HUD
    -0.65
    asus
    -0.65
    HCR
    -0.65
    isson
    -0.64
     Approximately
    -0.64
    POSITIVE LOGITS
     mortals
    1.26
     citizens
    1.04
     folk
    1.00
     citizen
    0.99
     Americans
    0.97
     everyday
    0.96
     folks
    0.95
    ordinary
    0.94
     ordinary
    0.91
     humans
    0.91
    Activations Density 0.060%

    No Known Activations