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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. 9-RES-JB
    11. 6970
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    Explanations

    specific mentions of former sports players, politicians, and public figures

    oai_token-act-pair · gpt-3.5-turbo

    names of sports organizations, teams, and notable individuals associated with sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Retrieved
    -0.69
    ickle
    -0.67
    rained
    -0.67
    morrow
    -0.67
     unlike
    -0.67
    aturday
    -0.65
    Demand
    -0.64
    uden
    -0.62
    formance
    -0.61
    alone
    -0.60
    POSITIVE LOGITS
     staffer
    1.01
     operative
    0.91
     employee
    0.88
     colleague
    0.84
     contractor
    0.82
     governor
    0.80
    oslov
    0.80
     boss
    0.79
     congressman
    0.79
     president
    0.79
    Activations Density 0.199%

    No Known Activations