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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. 32
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    Explanations

    terms related to statistics, data, and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to performance or estimates

    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
    NetMessage
    -0.74
     streng
    -0.73
    eatures
    -0.71
     carbohyd
    -0.71
     pestic
    -0.71
     cumbers
    -0.66
     tremend
    -0.66
    inventoryQuantity
    -0.66
    anwhile
    -0.65
    ortunately
    -0.64
    POSITIVE LOGITS
     39
    1.34
     38
    1.30
     9
    1.30
     31
    1.30
     388
    1.29
     458
    1.29
     8
    1.29
     6
    1.29
     46
    1.28
     4
    1.28
    Activations Density 0.122%

    No Known Activations