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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. 9-RES-JB
    11. 5554
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cia
    -0.82
    phy
    -0.76
    ç
    -0.74
    alys
    -0.72
    taboola
    -0.70
    ente
    -0.68
    tackle
    -0.66
    dozen
    -0.65
    job
    -0.65
    jar
    -0.64
    POSITIVE LOGITS
    ODUCT
    0.81
     Classics
    0.79
    ILE
    0.75
    INESS
    0.73
     Insider
    0.72
    ARE
    0.71
     headquarters
    0.70
    YA
    0.68
     Presents
    0.68
    ADA
    0.68
    Activations Density 0.166%

    No Known Activations