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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the word "Kilner"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Kilner" and related variations

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

    No Comments

    Negative Logits
    éĹĺ
    -0.77
    ãģį
    -0.74
    éļ
    -0.73
    æĥ
    -0.73
    Oracle
    -0.71
    ãģ®éŃĶ
    -0.70
     systematic
    -0.70
    ACTED
    -0.69
    è¯
    -0.67
    ÙIJ
    -0.67
    POSITIVE LOGITS
    patrick
    1.12
    iman
    1.00
    ometers
    1.00
    oby
    0.98
    kil
    0.96
    roy
    0.95
    nown
    0.95
    seys
    0.92
    burn
    0.90
    mill
    0.90
    Activations Density 0.004%

    No Known Activations