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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
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    Explanations

    mentions of the location "Ferguson"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Ferguson

    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
    yss
    -0.72
    graded
    -0.72
    Magikarp
    -0.70
    Companies
    -0.70
    sembly
    -0.69
    vu
    -0.69
    ysis
    -0.66
    Engineers
    -0.64
    asin
    -0.64
    thia
    -0.64
    POSITIVE LOGITS
    shire
    0.82
     Ferguson
    0.80
    burg
    0.77
    herty
    0.70
    burgh
    0.69
    orious
    0.68
    auld
    0.67
    baum
    0.65
    ner
    0.64
    land
    0.63
    Activations Density 0.017%

    No Known Activations