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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. 5007
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    INDEX
    Explanations

    verb phrases indicating intent or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attempts or efforts to achieve a goal

    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
     IMAGES
    -0.63
     Charges
    -0.56
     Warrant
    -0.56
     Regions
    -0.54
     References
    -0.54
     Extensions
    -0.53
     Practices
    -0.52
     Wer
    -0.51
    ainers
    -0.49
     Authors
    -0.48
    POSITIVE LOGITS
     to
    1.02
    to
    0.77
    wark
    0.74
    PsyNetMessage
    0.68
     appease
    0.68
    To
    0.66
    llor
    0.66
    externalActionCode
    0.65
    ãĤ¬
    0.64
     counteract
    0.64
    Activations Density 0.064%

    No Known Activations