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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. 11-RES-JB
    11. 6023
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.89
    ¥µ
    -0.82
    limits
    -0.77
    problem
    -0.77
    irs
    -0.77
    RFC
    -0.76
    stood
    -0.73
    ç¥ŀ
    -0.73
    government
    -0.72
    released
    -0.72
    POSITIVE LOGITS
     Fernandez
    1.05
     Vaughn
    1.00
     Ack
    0.98
     Martinez
    0.98
     Bryant
    0.92
     Feldman
    0.92
     Miller
    0.92
     Evans
    0.92
     Nicholson
    0.92
     Alvarez
    0.92
    Activations Density 0.054%

    No Known Activations