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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. 1-RES-JB
    11. 18039
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    Explanations

    proper nouns and names, particularly the name "Xavier"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Xavier"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kj
    -0.83
    TY
    -0.80
    lust
    -0.79
    kus
    -0.79
    POL
    -0.77
    cs
    -0.75
    scripts
    -0.74
    Seattle
    -0.72
    stein
    -0.70
    bright
    -0.69
    POSITIVE LOGITS
     Xavier
    1.25
     tremend
    0.85
     adolesc
    0.83
    avier
    0.82
     millenn
    0.81
    avorite
    0.77
     Maduro
    0.77
     Bec
    0.76
     confir
    0.76
     suspic
    0.74
    Activations Density 0.011%

    No Known Activations