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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. 4-RES-JB
    11. 15269
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    Explanations

    years and time periods

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to time periods in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NRS
    -0.71
    uala
    -0.60
    ãĥķãĤ©
    -0.60
    alty
    -0.57
    @#
    -0.55
    liga
    -0.55
     DI
    -0.55
    reply
    -0.54
    conn
    -0.54
     MK
    -0.54
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.62
    entary
    0.59
     bang
    0.57
     factions
    0.56
     sexes
    0.56
    aneous
    0.55
    antically
    0.54
    à¦
    0.54
    à¨
    0.54
    ],"
    0.54
    Activations Density 0.265%

    No Known Activations