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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. 6-RES-JB
    11. 3557
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    Explanations

    references to a specific location - Delhi

    oai_token-act-pair · gpt-3.5-turbo

    references to Delhi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.94
    cies
    -0.80
    utic
    -0.79
    aunder
    -0.76
    xp
    -0.71
     Staten
    -0.70
    ĨĴ
    -0.70
     therapists
    -0.70
    asus
    -0.69
    estern
    -0.69
    POSITIVE LOGITS
     Pradesh
    0.88
    jriwal
    0.73
    ennes
    0.73
     Punjab
    0.72
     ide
    0.70
    ascus
    0.67
    igans
    0.67
     Delhi
    0.66
     Lumpur
    0.66
     ki
    0.65
    Activations Density 0.014%

    No Known Activations