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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. 8-RES-JB
    11. 22437
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    Explanations

    mentions of people's names, particularly the name "Harrison"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.84
    gments
    -0.73
    ailand
    -0.71
    anooga
    -0.70
    terday
    -0.69
    uration
    -0.68
    hement
    -0.67
    ãĥ³
    -0.66
    reme
    -0.65
    osuke
    -0.64
    POSITIVE LOGITS
     Crosby
    0.96
     Vaugh
    0.86
    reath
    0.76
     Ambro
    0.76
    gren
    0.75
     Rockefeller
    0.73
     Goodman
    0.72
    HAEL
    0.70
    uddy
    0.69
    alf
    0.68
    Activations Density 0.099%

    No Known Activations