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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. 2881
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    Explanations

    proper nouns related to specific locations or facilities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to locations and institutions

    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
    ÃŃa
    -0.83
    æ©
    -0.79
    perse
    -0.78
    ãĥĦ
    -0.77
    thia
    -0.77
    é»Ĵ
    -0.77
    èĢ
    -0.75
    obar
    -0.75
    Spain
    -0.75
    æ³
    -0.75
    POSITIVE LOGITS
     debacle
    1.23
     fiasco
    1.15
     incident
    1.02
     crowd
    1.00
     Massacre
    0.93
     shutdown
    0.93
     massacre
    0.93
     renovation
    0.92
     scandal
    0.92
     showdown
    0.91
    Activations Density 0.291%

    No Known Activations