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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. 7-RES-JB
    11. 13822
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    Explanations

    names of famous individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of notable individuals, particularly those in leadership or influential roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    front
    -0.94
    ectar
    -0.92
    bell
    -0.87
    akening
    -0.82
    agra
    -0.82
    age
    -0.82
    roach
    -0.80
    ebook
    -0.80
    duct
    -0.80
    marked
    -0.78
    POSITIVE LOGITS
     Herz
    0.98
     Ender
    0.85
     Hayes
    0.85
     Caesar
    0.82
     Griffith
    0.81
     Send
    0.81
     Schwarzenegger
    0.81
     Barcl
    0.80
     Dean
    0.80
     Zup
    0.79
    Activations Density 0.043%

    No Known Activations