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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
    11. 9417
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    Explanations

    people's names, especially surnames

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or names

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ************
    -0.76
     [|
    -0.74
    âĵĺ
    -0.70
     Peninsula
    -0.69
     visitation
    -0.65
     Emir
    -0.65
    ****
    -0.62
     Doodle
    -0.61
     è£ıè¦ļéĨĴ
    -0.61
     Clarkson
    -0.61
    POSITIVE LOGITS
    stadt
    1.01
    helm
    0.98
    stad
    0.89
    NL
    0.87
    ensibly
    0.87
    enberg
    0.87
    aeus
    0.86
    mar
    0.83
    ais
    0.83
    thal
    0.81
    Activations Density 0.017%

    No Known Activations