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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. 13244
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    Explanations

    technical terms related to coding, such as compiler, decryption, authentication, and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to software compilation, encryption, and authentication processes

    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
    roy
    -0.72
    ACTED
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    minecraft
    -0.69
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    -0.66
    ishly
    -0.66
    artisan
    -0.66
    drawn
    -0.65
    gotten
    -0.64
    POSITIVE LOGITS
     logic
    1.18
     algorithms
    1.17
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    1.16
     routines
    1.12
     mechanism
    1.07
     backend
    1.02
     semantics
    1.02
     APIs
    1.01
     layer
    1.00
     workflow
    0.97
    Activations Density 0.188%

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