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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
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    Explanations

    references to renowned filmmakers, particularly Spielberg and Kubrick

    oai_token-act-pair · gpt-3.5-turbo

    mentions of well-known filmmakers, particularly Steven Spielberg and Stanley Kubrick

    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
     Aval
    -0.71
    irements
    -0.70
    foundland
    -0.66
     overloaded
    -0.66
    usterity
    -0.65
     utility
    -0.63
    ients
    -0.63
    ife
    -0.63
    bath
    -0.62
    laws
    -0.62
    POSITIVE LOGITS
     Spielberg
    1.29
     Interstellar
    0.91
     Pictures
    0.87
     Movie
    0.86
    eele
    0.86
     Paramount
    0.85
    Film
    0.83
     Studios
    0.77
     Abrams
    0.76
     Film
    0.75
    Activations Density 0.017%

    No Known Activations