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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. 3449
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    Explanations

    phrases related to large corporations or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to large companies and brands in various industries

    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
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    Negative Logits
    Ô
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    obyl
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    pmwiki
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    lees
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    ãĤĵ
    -0.71
    perate
    -0.70
    endas
    -0.69
    odox
    -0.68
    cipled
    -0.68
    aund
    -0.66
    POSITIVE LOGITS
     headquartered
    0.85
    's
    0.74
     GOT
    0.72
     IG
    0.72
     operator
    0.71
    hemoth
    0.69
     SOC
    0.67
     announced
    0.67
     titan
    0.66
    Sony
    0.65
    Activations Density 0.261%

    No Known Activations