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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. 4-RES-JB
    11. 6142
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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 @ 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
    enegger
    -1.00
     guiActiveUnfocused
    -0.84
    creen
    -0.75
    ified
    -0.70
    ORED
    -0.69
     decomp
    -0.66
    terday
    -0.64
     Electronics
    -0.63
    wagen
    -0.63
    20439
    -0.62
    POSITIVE LOGITS
    ģ
    1.37
    ¬
    1.23
    Ģ
    1.22
    ĭ
    1.21
    ´
    1.19
    ĵ
    1.18
    ļ
    1.18
    Ł
    1.17
    ĺ
    1.17
    ¤
    1.17
    Activations Density 0.007%

    No Known Activations