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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. 3-RES-JB
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    Explanations

    instances of the word "Gun" followed by a number ranging from 7 to 10

    oai_token-act-pair · gpt-3.5-turbo

    references to "Gun" and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewed
    -0.68
     Ethiop
    -0.66
    UTC
    -0.65
     Yose
    -0.64
     Strawberry
    -0.63
    arget
    -0.62
     Sina
    -0.62
     Cellular
    -0.62
     CentOS
    -0.62
     coli
    -0.61
    POSITIVE LOGITS
    ners
    1.20
    nar
    1.17
    powder
    1.16
    ner
    1.16
    nery
    1.13
    smith
    1.09
    gun
    1.02
    boats
    1.00
    geon
    0.99
    ned
    0.96
    Activations Density 0.009%

    No Known Activations