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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. 1693
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    Explanations

    phrases related to bringing something or someone

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of bringing or introducing something, particularly in a positive or significant 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
    alion
    -0.68
    livious
    -0.65
     Eater
    -0.64
    Ü
    -0.64
    Loop
    -0.62
     autop
    -0.62
    dfx
    -0.61
     Digest
    -0.60
    hedon
    -0.60
    ABC
    -0.60
    POSITIVE LOGITS
    unity
    0.81
    MpServer
    0.80
    imore
    0.75
    erella
    0.73
    ullah
    0.72
    inki
    0.72
    oba
    0.72
    upp
    0.70
    hua
    0.69
    resses
    0.68
    Activations Density 0.103%

    No Known Activations