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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. 7-RES-JB
    11. 8805
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    Explanations

    proper nouns related to various entities, including individuals, companies, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to social media platforms and associated concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    appropriately
    -0.68
    orum
    -0.67
     accordingly
    -0.65
    hess
    -0.65
    abwe
    -0.64
    comfort
    -0.64
    anooga
    -0.62
    jri
    -0.62
     Ambro
    -0.62
    mble
    -0.60
    POSITIVE LOGITS
     predecessors
    0.68
     counterparts
    0.62
    00200000
    0.59
     wont
    0.57
     example
    0.56
     Sunset
    0.54
     Idlib
    0.53
     stereotype
    0.52
     deserts
    0.52
     aforementioned
    0.52
    Activations Density 0.204%

    No Known Activations