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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
    11. 6686
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    Explanations

    production and producer-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film production and producers

    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
    uyomi
    -0.74
    bole
    -0.73
     handshake
    -0.65
     lightly
    -0.65
     reass
    -0.64
     swimming
    -0.63
     stepping
    -0.62
     trustees
    -0.61
    apo
    -0.61
     bowling
    -0.61
    POSITIVE LOGITS
    ivity
    0.94
    furt
    0.90
    ducers
    0.89
     Produ
    0.89
    Produ
    0.88
    ivities
    0.85
    ynthesis
    0.84
     Downloads
    0.81
     produ
    0.81
     Producer
    0.80
    Activations Density 0.014%

    No Known Activations