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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. 14891
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    Explanations

    Hebraic words and names, particularly those related to a specific individual or place called "Jon" or "Airbnb"

    oai_token-act-pair · gpt-3.5-turbo

    specific character sequences and certain names or terms related to social media platforms and rental services

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anova
    -0.73
    running
    -0.71
    trace
    -0.71
    Hyper
    -0.69
    LIN
    -0.64
    UAL
    -0.62
    eenth
    -0.60
    ral
    -0.60
    Native
    -0.60
    urat
    -0.58
    POSITIVE LOGITS
    ×ķ
    3.31
    bnb
    1.32
    ×Ļ×
    1.30
    beer
    1.23
    cki
    1.10
    jon
    1.09
    ×Ļ
    0.94
     temp
    0.94
    terday
    0.86
    uner
    0.82
    Activations Density 0.013%

    No Known Activations