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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. 370
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    Explanations

    mentions of various types of materials

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of materials

    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
     Pis
    -0.77
    otos
    -0.71
    ño
    -0.71
    eur
    -0.71
    arios
    -0.70
    conn
    -0.68
    cession
    -0.65
     Barth
    -0.65
    GBT
    -0.64
    etts
    -0.61
    POSITIVE LOGITS
     materials
    1.11
    anguage
    0.96
    Materials
    0.95
    utonium
    0.87
    mith
    0.87
     Materials
    0.80
    afety
    0.80
    ä¹ĭ
    0.78
     resources
    0.77
    onductor
    0.75
    Activations Density 0.014%

    No Known Activations