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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. 8499
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    Explanations

    multiple-word expressions describing different parts or components of a larger entity

    oai_token-act-pair · gpt-3.5-turbo

    references to divisions or segments within serialized content

    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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    No Comments

    Negative Logits
     Messi
    -0.70
    hari
    -0.65
     Emblem
    -0.63
    gn
    -0.63
     groom
    -0.61
    ARP
    -0.61
    claw
    -0.60
    anca
    -0.60
     Tend
    -0.59
     ki
    -0.59
    POSITIVE LOGITS
    icular
    1.03
    icle
    1.02
    icles
    0.94
    ridge
    0.93
    ners
    0.92
    meal
    0.90
    icipated
    0.88
    ner
    0.83
    acters
    0.81
    isans
    0.80
    Activations Density 0.014%

    No Known Activations