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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. 11-RES-JB
    11. 2198
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to personal preferences or favorites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    DEF
    -0.71
    rollment
    -0.70
    DERR
    -0.69
    redits
    -0.67
    aping
    -0.67
    ruption
    -0.67
    eki
    -0.67
    sufficient
    -0.66
    larg
    -0.65
    ilion
    -0.65
    POSITIVE LOGITS
     haun
    0.95
     haunt
    0.94
     hobbies
    0.88
     foods
    0.87
     tunes
    0.84
     genres
    0.82
     beverage
    0.81
     moments
    0.79
     aspects
    0.78
     brands
    0.78
    Activations Density 0.076%

    No Known Activations