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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
    11. 10666
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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
     Levant
    -0.72
    anwhile
    -0.71
     electronically
    -0.63
     Uriel
    -0.60
     Bashar
    -0.60
     Avalon
    -0.58
     lobbying
    -0.56
     anonymously
    -0.55
     PACs
    -0.55
     Frankenstein
    -0.54
    POSITIVE LOGITS
    dL
    1.09
    ZI
    1.06
    dq
    1.05
    ZX
    1.01
    9
    1.00
    0
    1.00
    zx
    0.98
    qq
    0.97
    8
    0.97
    Q
    0.96
    Activations Density 0.059%

    No Known Activations