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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. 4-RES-JB
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    references to film directors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of film directors

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

    No Comments

    Negative Logits
    MpServer
    -0.90
     Labrador
    -0.68
     bilateral
    -0.68
    tnc
    -0.68
    affle
    -0.67
     Leafs
    -0.66
     wedge
    -0.64
    RESULTS
    -0.63
    bitcoin
    -0.62
    eat
    -0.60
    POSITIVE LOGITS
    urally
    0.98
     Studios
    0.91
     studios
    0.88
    ography
    0.86
     Animation
    0.86
     filmmakers
    0.84
     filmmaker
    0.83
     Studio
    0.81
    director
    0.81
    ial
    0.80
    Activations Density 0.043%

    No Known Activations