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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. 0-RES-JB
    11. 1967
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    Explanations

    the phrase "Rendezvous."

    oai_token-act-pair · gpt-3.5-turbo

    titles of specific films or movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Antar
    -0.78
     rall
    -0.77
     accomp
    -0.75
     neighb
    -0.72
     fortun
    -0.70
     Manz
    -0.69
     Austral
    -0.67
     Constantin
    -0.64
     informant
    -0.64
     Semin
    -0.64
    POSITIVE LOGITS
    cffffcc
    0.76
    Downloadha
    0.69
    FML
    0.66
    acons
    0.63
    anish
    0.63
    DragonMagazine
    0.62
    cu
    0.62
    initions
    0.62
    Gaming
    0.62
    packing
    0.61
    Activations Density 0.000%

    No Known Activations