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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "film."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of films

    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
     pools
    -0.66
     plunge
    -0.64
     pit
    -0.62
     Coff
    -0.61
     places
    -0.61
     Fort
    -0.61
     depl
    -0.61
     Wake
    -0.60
     rush
    -0.59
     departures
    -0.59
    POSITIVE LOGITS
    film
    4.51
    Film
    2.70
    fil
    1.68
     Film
    1.59
    movie
    1.54
     Films
    1.52
    Fil
    1.37
     film
    1.35
     films
    1.33
    FIL
    1.29
    Activations Density 0.022%

    No Known Activations