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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. 10-RES-JB
    11. 17280
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    Explanations

    terms related to dangerous or violent situations

    oai_token-act-pair · gpt-3.5-turbo

    references to protests and civil unrest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #$
    -0.82
    Thumbnail
    -0.73
    INTON
    -0.69
    ãĤ£
    -0.68
    Benz
    -0.67
    Care
    -0.66
    endment
    -0.66
    acha
    -0.66
     Difference
    -0.64
     Balance
    -0.62
    POSITIVE LOGITS
     prolifer
    1.54
     commonplace
    1.38
     abound
    1.33
     popping
    1.30
     frequent
    1.26
     sporadic
    1.20
     spor
    1.16
     occurring
    1.09
     plentiful
    1.07
     rampant
    1.05
    Activations Density 0.452%

    No Known Activations