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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. 3-RES-JB
    11. 3520
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    Explanations

    references to newsletter subscriptions being delivered to the inbox

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "delivered" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wikipedia
    -0.97
    bi
    -0.83
    atan
    -0.81
    ned
    -0.80
    odan
    -0.74
    pmwiki
    -0.72
    ources
    -0.70
    conn
    -0.70
     Geh
    -0.69
    wart
    -0.69
    POSITIVE LOGITS
     delivered
    0.97
    ragon
    0.96
    imentary
    0.93
     delivering
    0.86
     delivery
    0.86
     Delivery
    0.85
     deliveries
    0.84
     delivers
    0.81
    Interstitial
    0.80
     baskets
    0.80
    Activations Density 0.013%

    No Known Activations