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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. 2-RES-JB
    11. 5416
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    Explanations

    mentions of specific names of places or people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific chemicals or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nare
    -0.68
    ":[
    -0.62
    nesota
    -0.62
     (?,
    -0.60
     Parameters
    -0.60
     arrang
    -0.58
    ciplinary
    -0.57
     NX
    -0.57
    7601
    -0.56
    itiz
    -0.54
    POSITIVE LOGITS
    -)
    0.87
    enegger
    0.81
    ?).
    0.78
    ivably
    0.71
    arently
    0.69
    ãĥ³ãĤ¸
    0.68
    !).
    0.68
     ?)
    0.66
    ô
    0.63
    )</
    0.63
    Activations Density 1.552%

    No Known Activations