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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. 4-RES-JB
    11. 14323
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    INDEX
    Explanations

    mentions of alumni

    oai_token-act-pair · gpt-3.5-turbo

    references to alumni and their associations

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

    No Comments

    Negative Logits
    slow
    -0.66
    ebook
    -0.65
    plays
    -0.65
    lihood
    -0.64
    baby
    -0.62
     Modified
    -0.62
     Smart
    -0.60
     Weed
    -0.60
     Kob
    -0.60
    quick
    -0.60
    POSITIVE LOGITS
    umni
    1.16
     alumni
    1.08
    uates
    0.98
    olor
    0.89
    Reviewer
    0.79
     alum
    0.78
    uate
    0.75
    ulty
    0.75
    umn
    0.74
     affili
    0.72
    Activations Density 0.009%

    No Known Activations