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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. 11-RES-JB
    11. 12735
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    Explanations

    descriptions related to visual and structural aspects, as well as considerations of usability and quantity

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to design and usability in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    idden
    -0.68
    ei
    -0.66
    cart
    -0.65
    lease
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    enter
    -0.63
    atars
    -0.62
    eatured
    -0.62
    mud
    -0.61
    lein
    -0.61
    20439
    -0.60
    POSITIVE LOGITS
     considerations
    1.44
     matters
    1.37
     wise
    1.27
    wise
    1.16
     differences
    1.16
     issues
    1.10
     discrepancies
    1.05
     constraints
    1.03
     optimization
    1.02
     aside
    1.02
    Activations Density 0.401%

    No Known Activations