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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. 8-RES-JB
    11. 24188
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    Explanations

    proper nouns related to a specific entity named "Mas" with varying strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Mas" followed by various characters or words, likely indicating a focus on named entities or topics related to "Mas."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.71
    ship
    -0.68
    ski
    -0.68
    orer
    -0.67
     Ames
    -0.66
    ï¸ı
    -0.66
     Grimes
    -0.65
     Ceres
    -0.61
     Saskatchewan
    -0.61
     Phoenix
    -0.61
    POSITIVE LOGITS
    querade
    1.34
    cul
    1.18
    quer
    1.07
    ques
    1.01
    dar
    0.98
    sey
    0.98
    que
    0.95
    qu
    0.91
    TER
    0.88
    seys
    0.85
    Activations Density 0.022%

    No Known Activations