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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. 3-RES-JB
    11. 8864
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    Explanations

    words related to government positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of security-related entities or positions

    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
    è¦ļéĨĴ
    -0.87
     Burnett
    -0.71
     Cors
    -0.68
     Warcraft
    -0.67
    lihood
    -0.67
     Gat
    -0.67
    Magikarp
    -0.66
    FORE
    -0.65
     Rus
    -0.64
    ãĥĥãĤ¯
    -0.63
    POSITIVE LOGITS
    Sec
    1.11
    rets
    1.09
    aucus
    1.05
    recy
    1.05
    unia
    1.03
    ular
    0.99
    ession
    0.94
    ularity
    0.93
    RET
    0.92
    urities
    0.90
    Activations Density 0.005%

    No Known Activations