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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. 24229
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    Explanations

    proper names and nouns related to locations

    oai_token-act-pair · gpt-3.5-turbo

    names of specific individuals or entities

    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
    ulhu
    -0.69
     improv
    -0.63
     downtime
    -0.62
     Billboard
    -0.61
     disenfranch
    -0.60
     Solitaire
    -0.59
     Hamas
    -0.58
     DMV
    -0.58
    DCS
    -0.58
    IRED
    -0.58
    POSITIVE LOGITS
     Ney
    1.15
    lio
    0.94
    terness
    0.92
    ypes
    0.85
    liga
    0.80
    omore
    0.77
    mares
    0.77
    mark
    0.77
    inho
    0.75
    cup
    0.75
    Activations Density 0.002%

    No Known Activations