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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. 4-RES-JB
    11. 4143
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the character 'Ļ' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     disadvant
    -1.01
    pheus
    -0.81
    raints
    -0.80
     levers
    -0.74
    awaru
    -0.73
     carbohyd
    -0.72
     mathemat
    -0.70
    undai
    -0.70
    aneers
    -0.68
     manif
    -0.68
    POSITIVE LOGITS
    ï¸ı
    1.03
    ļ
    0.88
    ħ
    0.85
     âĢº
    0.84
    à¥
    0.83
    İ
    0.82
    ×
    0.81
    ®
    0.81
    UAL
    0.80
    ש
    0.78
    Activations Density 0.319%

    No Known Activations