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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. 6-RES-JB
    11. 13943
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    Explanations

    locations and political entities, specifically focusing on Beijing and Moscow

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Beijing and Moscow in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.87
     Scotch
    -0.72
    ivan
    -0.69
    UV
    -0.69
    imeo
    -0.68
    title
    -0.68
    series
    -0.67
    BILL
    -0.67
    DonaldTrump
    -0.67
    alach
    -0.66
    POSITIVE LOGITS
     Lumpur
    0.90
    ites
    0.84
     denies
    0.82
    ijing
    0.78
     resurg
    0.75
     Jinping
    0.73
     medd
    0.73
    ascus
    0.73
     insists
    0.72
    's
    0.72
    Activations Density 0.041%

    No Known Activations