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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. 0-RES-JB
    11. 10000
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    Explanations

    meat-related items such as bacon and sausage

    oai_token-act-pair · gpt-3.5-turbo

    references to bacon in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    storm
    -0.79
     Lev
    -0.74
    MK
    -0.72
    ept
    -0.72
    isk
    -0.72
     Tat
    -0.70
     Mit
    -0.67
     MK
    -0.67
     Taj
    -0.65
    hol
    -0.64
    POSITIVE LOGITS
     bacon
    3.48
     Bacon
    2.71
     pancakes
    1.46
     sausage
    1.29
     taco
    1.25
     pork
    1.16
    heddar
    1.13
     tacos
    1.12
     burgers
    1.10
     Nora
    1.10
    Activations Density 0.026%

    No Known Activations