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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. 13581
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    Explanations

    references to famous historical figures, particularly artists and scientists

    oai_token-act-pair · gpt-3.5-turbo

    mentions of famous historical figures, particularly Leonardo and Galileo

    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
    nesses
    -0.80
    edy
    -0.79
    rha
    -0.76
    CBC
    -0.76
    RAM
    -0.71
    Recommend
    -0.70
    awar
    -0.70
    ties
    -0.69
    tz
    -0.69
    icka
    -0.68
    POSITIVE LOGITS
    angelo
    1.29
     Leonardo
    1.12
     Galile
    1.02
     Galileo
    0.96
    issance
    0.95
    cean
    0.90
    zzi
    0.86
     Raphael
    0.85
     Ferdinand
    0.84
     da
    0.82
    Activations Density 0.017%

    No Known Activations