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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. 12126
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    Explanations

    references to specific centuries

    oai_token-act-pair · gpt-3.5-turbo

    references to centuries, particularly the 19th and 20th

    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
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    No Comments

    Negative Logits
    ITED
    -0.75
     Canaver
    -0.69
     SPACE
    -0.63
    rawdownloadcloneembedreportprint
    -0.62
    HOME
    -0.62
    ETS
    -0.62
    acci
    -0.61
    staking
    -0.59
    gdala
    -0.59
     Kafka
    -0.59
    POSITIVE LOGITS
     Amendment
    0.97
    umbnail
    0.94
    irty
    0.93
    ieth
    0.92
     century
    0.92
     inning
    0.91
    ousand
    0.89
    ulhu
    0.89
    ttp
    0.88
    orne
    0.88
    Activations Density 0.042%

    No Known Activations