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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. 1-RES-JB
    11. 20545
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    Explanations

    references to movies or actors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "starring" in relation to movies and performances

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    utral
    -0.85
    abus
    -0.77
    regulated
    -0.76
    Ĥİ
    -0.74
    apa
    -0.73
    veyard
    -0.72
    nea
    -0.72
    oard
    -0.71
    nsic
    -0.71
    adem
    -0.71
    POSITIVE LOGITS
     starring
    1.19
    Dust
    0.78
     stars
    0.77
    ãĤ¤ãĥĪ
    0.76
    Credits
    0.76
     Actress
    0.75
     Pengu
    0.75
     starred
    0.75
    stars
    0.71
     Features
    0.71
    Activations Density 0.008%

    No Known Activations