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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. 6-RES-JB
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    Explanations

    references to individuals named Michel

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Michel" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.88
    aways
    -0.71
    skirts
    -0.71
    ictionary
    -0.68
    awar
    -0.68
     Cherokee
    -0.67
     Seeds
    -0.65
    away
    -0.65
     Females
    -0.64
    cession
    -0.64
    POSITIVE LOGITS
    angelo
    1.35
     Fou
    0.92
     Michel
    0.91
    otti
    0.76
     Kafka
    0.72
     Macron
    0.72
    rical
    0.71
     François
    0.71
    ambo
    0.70
    tics
    0.70
    Activations Density 0.027%

    No Known Activations