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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. 10676
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    Explanations

    terms related to software and project management processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to management and analysis within various utility functions

    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
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    Negative Logits
    ewitness
    -0.87
    urnal
    -0.86
    ometown
    -0.78
    zl
    -0.78
    birth
    -0.75
    ãĥĥãĥī
    -0.75
    bid
    -0.69
    ãĥĺãĥ©
    -0.69
    ighth
    -0.69
    é¾įåĸļ士
    -0.69
    POSITIVE LOGITS
     algorithms
    1.20
     techniques
    1.18
     tools
    1.16
     software
    1.15
     tool
    1.15
     algorithm
    1.10
     capabilities
    1.09
     technique
    1.07
     capability
    1.03
     routines
    1.01
    Activations Density 0.265%

    No Known Activations