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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. 6-RES-JB
    11. 10655
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wikipedia
    -0.76
    odan
    -0.71
     extraction
    -0.67
     Kirin
    -0.64
    atan
    -0.64
    ————————
    -0.63
    si
    -0.62
    Eth
    -0.61
     Sigma
    -0.61
     Barrier
    -0.61
    POSITIVE LOGITS
    ragon
    1.00
    imentary
    0.95
     delivered
    0.88
    ocalypse
    0.80
    Interstitial
    0.79
    nesday
    0.73
     upon
    0.70
    ients
    0.69
     baskets
    0.69
    icts
    0.68
    Activations Density 0.022%

    No Known Activations