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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. 11845
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    Explanations

    phrases related to numerical quantities of people or users

    oai_token-act-pair · gpt-3.5-turbo

    references to large populations or groups of people

    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
    odox
    -0.73
    SourceFile
    -0.71
    Leader
    -0.65
     Ratt
    -0.64
    hetti
    -0.63
     successor
    -0.63
     Silence
    -0.62
    imaru
    -0.62
     Monkey
    -0.62
     precedence
    -0.61
    POSITIVE LOGITS
     worldwide
    1.05
     annually
    0.90
     nationwide
    0.82
    illion
    0.80
    abytes
    0.80
    pees
    0.79
    poons
    0.77
    kj
    0.75
     apiece
    0.73
     crammed
    0.73
    Activations Density 0.227%

    No Known Activations