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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. 9-RES-JB
    11. 16204
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    Explanations

    mentions of a specific university, "Du", possibly focusing on different aspects related to the university or individuals associated with it

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific university or institution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nikov
    -0.75
    ãģĨ
    -0.70
    tes
    -0.64
     CPC
    -0.63
    clinton
    -0.63
    èĢħ
    -0.63
    tor
    -0.62
    ISC
    -0.61
     Across
    -0.61
    onica
    -0.61
    POSITIVE LOGITS
    Pont
    1.16
    cci
    0.92
    pless
    0.91
    opoly
    0.91
    plet
    0.89
    arte
    0.89
    athlon
    0.88
    pee
    0.88
     jour
    0.84
    plin
    0.84
    Activations Density 0.023%

    No Known Activations