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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. 5670
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lee."

    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
    rious
    -0.73
    rontal
    -0.73
    ãĤ¢ãĥ«
    -0.71
    unct
    -0.69
    ionic
    -0.69
    ãĥ¼ãĥĨ
    -0.68
    ENTION
    -0.67
    optional
    -0.65
    ALLY
    -0.64
    selves
    -0.63
    POSITIVE LOGITS
     Lee
    0.90
    Anne
    0.83
     Chun
    0.82
     Jong
    0.81
    gun
    0.78
    lee
    0.76
    utenant
    0.75
    owan
    0.75
    Lee
    0.73
    lean
    0.73
    Activations Density 0.009%

    No Known Activations