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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. 10-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    agher
    -0.73
    inventoryQuantity
    -0.72
    addon
    -0.72
    heet
    -0.67
    emi
    -0.67
    FontSize
    -0.66
     sugg
    -0.64
    ymes
    -0.63
    éĹĺ
    -0.63
    awed
    -0.62
    POSITIVE LOGITS
    ization
    1.21
    ized
    1.16
    isation
    1.14
     reality
    1.06
    reality
    1.02
    izable
    0.98
    izing
    0.97
    env
    0.93
     Reality
    0.91
    izations
    0.91
    Activations Density 0.024%

    No Known Activations