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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. 1-RES-JB
    11. 5496
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    INDEX
    Explanations

    mentions of the term "Kremlin"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the Kremlin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thom
    -0.74
    ients
    -0.73
     Kear
    -0.71
    leness
    -0.69
     Stub
    -0.69
    IRD
    -0.68
    ergy
    -0.68
    UU
    -0.68
    iona
    -0.67
    TH
    -0.67
    POSITIVE LOGITS
     Kremlin
    1.13
    achev
    1.05
     rall
    0.99
     dictatorship
    0.88
    agogue
    0.88
     disinformation
    0.86
     Jinping
    0.84
    kaya
    0.83
     Ukrain
    0.82
     dictator
    0.81
    Activations Density 0.008%

    No Known Activations