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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. 6041
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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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    Negative Logits
     POW
    -0.28
    }"
    -0.26
     damn
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     LOW
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     NUM
    -0.23
     MSG
    -0.23
     Kham
    -0.23
     dyn
    -0.23
     Indra
    -0.23
     HAL
    -0.23
    POSITIVE LOGITS
    ndum
    0.32
    nesday
    0.31
    morrow
    0.31
    uesday
    0.29
     anniversary
    0.28
     dystop
    0.28
    estival
    0.28
    iversary
    0.28
    published
    0.27
    Browser
    0.27
    Activations Density 2.543%

    No Known Activations