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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
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    Explanations

    proper nouns related to various contexts, potentially including names of people, places, and objects

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kane."

    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
    psons
    -0.87
    azeera
    -0.81
    reen
    -0.80
    ophob
    -0.74
    resents
    -0.74
    perse
    -0.74
    aced
    -0.72
    awaru
    -0.72
    iments
    -0.72
    ional
    -0.72
    POSITIVE LOGITS
     Kane
    1.05
     Hots
    1.01
    zie
    0.77
    zan
    0.73
     Jong
    0.72
     Bryant
    0.71
    vill
    0.70
    patrick
    0.70
     Noon
    0.70
     Williamson
    0.70
    Activations Density 0.008%

    No Known Activations