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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. 8-RES-JB
    11. 8987
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    Explanations

    specific names, especially "Andre" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Andre."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inct
    -0.96
    ead
    -0.78
    ulhu
    -0.78
    lishing
    -0.75
    dfx
    -0.74
    eled
    -0.74
    elled
    -0.69
    ilial
    -0.69
    ointed
    -0.68
    lyak
    -0.66
    POSITIVE LOGITS
    tti
    1.15
    essen
    0.95
    byss
    0.85
    cats
    0.79
     Paste
    0.75
     Vu
    0.74
     XIII
    0.74
     3000
    0.70
    aic
    0.69
     Rus
    0.67
    Activations Density 0.050%

    No Known Activations