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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. 7-RES-JB
    11. 9327
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    Explanations

    terms related to accuracy and precision

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to accuracy and precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    acid
    -0.81
    doms
    -0.79
    AIN
    -0.77
    inki
    -0.76
    hedon
    -0.75
    loo
    -0.73
     Parties
    -0.71
    hov
    -0.70
    #$#$
    -0.70
     Pharma
    -0.69
    POSITIVE LOGITS
     portrayal
    1.11
    uracy
    1.09
     depiction
    1.02
     depictions
    0.92
     accuracy
    0.92
     representation
    0.91
     representations
    0.90
     reproduction
    0.90
     inaccurate
    0.89
     appraisal
    0.88
    Activations Density 0.052%

    No Known Activations