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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. 2519
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    Explanations

    references to documentaries

    oai_token-act-pair · gpt-3.5-turbo

    references to documentaries

    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
    ebus
    -0.89
    achus
    -0.64
    ets
    -0.64
    spr
    -0.63
    Ĥİ
    -0.62
    ickle
    -0.62
    ilon
    -0.61
    ername
    -0.61
    ETS
    -0.60
    arus
    -0.60
    POSITIVE LOGITS
     documentary
    3.51
     documentaries
    2.70
     film
    1.74
     filmmaker
    1.61
     Document
    1.50
     Films
    1.46
     filmmaking
    1.43
     filmmakers
    1.43
     films
    1.40
     memoir
    1.40
    Activations Density 0.019%

    No Known Activations