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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. 3-RES-JB
    11. 15600
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    Explanations

    concepts related to higher education and standards

    oai_token-act-pair · gpt-3.5-turbo

    references to levels or standards of quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Paraly
    -0.69
     Scythe
    -0.67
    bers
    -0.66
     Immun
    -0.65
     Andromeda
    -0.65
    Reply
    -0.65
     Ramadan
    -0.64
     Sho
    -0.64
     Ragnarok
    -0.64
     Canaver
    -0.62
    POSITIVE LOGITS
     than
    1.00
    than
    0.97
     referen
    0.90
     priced
    0.87
    iating
    0.85
     tiers
    0.82
     pitched
    0.82
    iated
    0.80
     paced
    0.79
    lighting
    0.79
    Activations Density 0.027%

    No Known Activations