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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. 9028
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    Explanations

    countries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Hungary and related terms

    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
    ctive
    -0.84
    LEASE
    -0.80
    grading
    -0.80
    bleacher
    -0.80
    nesota
    -0.79
    20439
    -0.77
    peer
    -0.74
    gradation
    -0.73
    cape
    -0.72
    76561
    -0.72
    POSITIVE LOGITS
     Budapest
    1.13
    Hung
    1.10
     Hungary
    1.06
     Hungarian
    0.93
     Viktor
    0.82
     Hung
    0.82
    oslov
    0.81
    owitz
    0.80
    awei
    0.78
     Airlines
    0.77
    Activations Density 0.006%

    No Known Activations