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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. 10-RES-JB
    11. 23277
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    INDEX
    Explanations

    mentions of companies or firms

    oai_token-act-pair · gpt-3.5-turbo

    references to various firms or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bian
    -0.79
    vernment
    -0.78
    jri
    -0.78
    obyl
    -0.71
    jad
    -0.67
    xual
    -0.64
     livest
    -0.62
    FactoryReloaded
    -0.62
    æĹ
    -0.62
     chants
    -0.62
    POSITIVE LOGITS
    ament
    1.08
     specializing
    0.98
    orpor
    0.82
     hired
    0.79
    orah
    0.77
    orporated
    0.77
    ures
    0.75
     firms
    0.74
     headquartered
    0.74
     Perkins
    0.73
    Activations Density 0.042%

    No Known Activations