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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 306
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    Explanations

    references to the company Warner Bros

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Warner Bros. company

    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
    xual
    -0.79
    ombo
    -0.77
    sembly
    -0.76
    oral
    -0.76
    obos
    -0.75
    omorphic
    -0.72
    DonaldTrump
    -0.72
    PsyNetMessage
    -0.71
    anwhile
    -0.71
    £ı
    -0.71
    POSITIVE LOGITS
     Bros
    1.26
     Brothers
    1.00
     Warner
    0.92
     Cable
    0.80
    Film
    0.78
    riors
    0.78
    stown
    0.77
    sonian
    0.73
    ewater
    0.72
    izon
    0.71
    Activations Density 0.014%

    No Known Activations