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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. 23420
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    Explanations

    phrases related to specific locations and institutions

    oai_token-act-pair · gpt-3.5-turbo

    locations or places mentioned in the text

    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
    MpServer
    -0.74
    potion
    -0.72
    0000000000000000
    -0.71
    DragonMagazine
    -0.68
    ãģĭ
    -0.68
    nat
    -0.67
    SpaceEngineers
    -0.64
    tre
    -0.64
     centrif
    -0.64
    ����
    -0.64
    POSITIVE LOGITS
     cities
    1.17
     northeastern
    1.09
     towns
    1.04
     southwestern
    1.04
     southeast
    1.01
     southern
    1.00
     northeast
    1.00
     eastern
    1.00
     southeastern
    0.99
     metropolitan
    0.98
    Activations Density 0.285%

    No Known Activations