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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. 16624
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    Explanations

    phrases related to written content or published materials

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with information, inquiries, and documentation

    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
     exception
    -0.74
    activity
    -0.70
    lier
    -0.70
     forestry
    -0.69
    arb
    -0.68
    ris
    -0.67
    code
    -0.67
    pron
    -0.66
    oÄŁ
    -0.66
     republican
    -0.64
    POSITIVE LOGITS
     Characters
    1.05
    hops
    1.01
     Seconds
    1.00
     Matter
    0.99
     Ltd
    0.97
     Places
    0.96
     Parties
    0.96
     Ago
    0.95
     Across
    0.95
     Own
    0.95
    Activations Density 0.153%

    No Known Activations