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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. 20634
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    Explanations

    phrases related to processing and transportation of materials or goods

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the processing and transformation of physical materials

    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
    Not in Any Lists

    No Comments

    Negative Logits
    gling
    -0.72
     inaction
    -0.67
     senses
    -0.66
     Immunity
    -0.65
    isSpecialOrderable
    -0.65
    ismo
    -0.65
     Lose
    -0.65
    peak
    -0.65
     Saying
    -0.65
     Actions
    -0.65
    POSITIVE LOGITS
     shipped
    1.45
     transported
    1.39
     exported
    1.26
     reused
    1.24
     stored
    1.23
     processed
    1.22
     transferred
    1.21
     packaged
    1.21
     redistributed
    1.19
     recycled
    1.18
    Activations Density 0.301%

    No Known Activations