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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. 1296
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    Explanations

    verbs that involve applying a certain action to a specific context or object

    oai_token-act-pair · gpt-3.5-turbo

    references to the optimal or correct use of various concepts or tools

    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
     Vaughan
    -0.59
    whatever
    -0.58
    psey
    -0.56
     Africa
    -0.56
    TPS
    -0.54
     Scotia
    -0.54
    ibur
    -0.52
    special
    -0.52
     Ethiopia
    -0.52
     Vie
    -0.52
    POSITIVE LOGITS
     properly
    1.26
     correctly
    1.17
     individually
    0.89
     improperly
    0.88
     incorrectly
    0.87
     appropriately
    0.86
     responsibly
    0.77
     aloud
    0.76
     alongside
    0.73
     perpend
    0.73
    Activations Density 0.118%

    No Known Activations