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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. 9-RES-JB
    11. 16739
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    Explanations

    the word "Paris" with varying levels of specificity and context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Paris

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITH
    -0.77
    uilt
    -0.77
    rahim
    -0.76
    pta
    -0.72
    arijuana
    -0.68
     Uzbek
    -0.66
    ocument
    -0.66
    udder
    -0.65
    rha
    -0.64
    rocal
    -0.64
    POSITIVE LOGITS
     Hilton
    1.19
    ienne
    1.14
    ian
    0.97
    ians
    0.96
    furt
    0.94
    iens
    0.85
    ien
    0.83
     Saint
    0.82
     Mé
    0.82
     Attacks
    0.82
    Activations Density 0.022%

    No Known Activations