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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. 9-RES-JB
    11. 1796
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    Explanations

    mentions of the term "Hus" or "hus" in the text, which could be referring to various contexts such as sports teams, names, or other entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Husky" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.71
    è¦ļéĨĴ
    -0.70
     Nile
    -0.65
     Hercules
    -0.64
     Burnett
    -0.64
    river
    -0.63
     sheet
    -0.62
     surgery
    -0.61
     Zucker
    -0.60
     temptation
    -0.60
    POSITIVE LOGITS
    kies
    1.40
    bands
    1.24
    sein
    1.23
    ky
    1.22
    band
    1.18
    kie
    1.16
    qv
    1.15
    sey
    1.13
    ayn
    1.10
    pring
    1.07
    Activations Density 0.066%

    No Known Activations