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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. 941
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    INDEX
    Explanations

    number values in strings and phrases

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating potential actions or obligations

    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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    No Comments

    Negative Logits
     behaviors
    -0.92
    ADVERTISEMENT
    -0.91
    behavior
    -0.89
    izational
    -0.89
    Defense
    -0.83
    Center
    -0.83
    defense
    -0.82
     Organizations
    -0.82
     Center
    -0.79
    izations
    -0.77
    POSITIVE LOGITS
     recognise
    1.76
     apologise
    1.74
     organise
    1.71
     realise
    1.65
     analyse
    1.60
     emphas
    1.47
     £
    1.39
     fulfil
    1.36
     practise
    1.32
     util
    1.29
    Activations Density 0.376%

    No Known Activations