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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. 19441
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    Explanations

    mentions of filmmakers and their works

    oai_token-act-pair · gpt-3.5-turbo

    references to filmmakers

    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
    MpServer
    -0.74
    urst
    -0.71
    tera
    -0.68
    latable
    -0.65
    hurst
    -0.65
    mone
    -0.65
    affle
    -0.64
     ADA
    -0.64
     bilateral
    -0.64
    lynn
    -0.64
    POSITIVE LOGITS
     filmmakers
    1.11
     filmmaker
    1.08
    Film
    0.92
     filmmaking
    0.92
     studios
    0.87
    film
    0.86
    director
    0.84
    WithNo
    0.83
     Film
    0.82
     films
    0.81
    Activations Density 0.052%

    No Known Activations