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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. 10338
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    Explanations

    names related to different people

    oai_token-act-pair · gpt-3.5-turbo

    elements related to specific names or titles in a context

    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
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.67
    Versions
    -0.64
    ascript
    -0.63
    tyard
    -0.61
    itutes
    -0.60
    rique
    -0.60
    theless
    -0.60
    ancial
    -0.60
     mantle
    -0.58
     silence
    -0.58
    POSITIVE LOGITS
    ikuman
    1.16
     Lumpur
    1.05
    EStreamFrame
    1.04
    lyak
    1.00
    enei
    0.88
    etsu
    0.87
    waukee
    0.86
    oha
    0.83
    hid
    0.81
    zie
    0.81
    Activations Density 0.118%

    No Known Activations