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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
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    Explanations

    the name "Ken"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Ken" in various contexts

    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
    xual
    -0.95
    ãĥ´ãĤ¡
    -0.81
    anwhile
    -0.75
    Reloaded
    -0.74
    ylum
    -0.73
     exha
    -0.72
    Drug
    -0.71
     sensitive
    -0.71
    pmwiki
    -0.71
    TABLE
    -0.69
    POSITIVE LOGITS
     Ken
    0.98
    yon
    0.93
    ois
    0.87
    Ken
    0.87
    wei
    0.82
     Mans
    0.80
    ji
    0.80
    uine
    0.78
    wen
    0.77
    minster
    0.77
    Activations Density 0.005%

    No Known Activations