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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
    11. 3721
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    Explanations

    calls to action or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "deliver" and its variations

    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
    pmwiki
    -0.88
    wikipedia
    -0.83
    bi
    -0.74
    FactoryReloaded
    -0.73
    conn
    -0.71
    bes
    -0.70
    col
    -0.69
    Du
    -0.69
     Fol
    -0.67
    zai
    -0.67
    POSITIVE LOGITS
     delivered
    0.85
     deliver
    0.81
    icts
    0.79
    Delivery
    0.78
    ragon
    0.78
    ables
    0.77
     delivery
    0.77
     delivering
    0.77
     Delivery
    0.76
     deliveries
    0.76
    Activations Density 0.018%

    No Known Activations