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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. 8-RES-JB
    11. 8484
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    Explanations

    acronyms related to organizations or programs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or agencies related to public safety and investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.88
     Dresden
    -0.71
     balloon
    -0.68
    stice
    -0.67
     dwar
    -0.64
     Eisen
    -0.63
    rawdownloadcloneembedreportprint
    -0.60
    ker
    -0.60
    opian
    -0.59
    ted
    -0.59
    POSITIVE LOGITS
    oreal
    0.98
    oin
    0.97
    ategory
    0.89
    ustom
    0.88
    ORPG
    0.84
    etition
    0.83
    OTUS
    0.82
    ilitary
    0.81
    ressive
    0.77
    ression
    0.76
    Activations Density 0.019%

    No Known Activations