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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. 1951
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    Explanations

    phrases related to desires or needs being fulfilled

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with personal desires and actions

    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
     coordination
    -0.67
    lining
    -0.66
     JS
    -0.63
     parallel
    -0.60
     vigilance
    -0.60
     parallels
    -0.60
     reversal
    -0.60
     coincide
    -0.60
     satire
    -0.59
    inline
    -0.59
    POSITIVE LOGITS
     crave
    0.92
    needs
    0.85
    earned
    0.84
     owed
    0.83
    ãĥij
    0.82
     deserves
    0.80
     barg
    0.80
     lacked
    0.79
     deserve
    0.78
     deserved
    0.76
    Activations Density 0.190%

    No Known Activations