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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. 23752
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    Explanations

    evidence-based terms, including words related to research methodology, legal contexts, and scientific investigations

    oai_token-act-pair · gpt-3.5-turbo

    evidence and research findings related to various studies

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ç¥ŀ
    -0.79
     dreaded
    -0.74
    abeth
    -0.72
    obook
    -0.68
    ||||
    -0.67
    uve
    -0.67
    ndra
    -0.67
    cone
    -0.66
    task
    -0.65
    ouf
    -0.65
    POSITIVE LOGITS
     evidence
    1.77
     observations
    1.74
     findings
    1.58
     reports
    1.53
     data
    1.53
     testimonies
    1.52
    evidence
    1.51
     testimony
    1.48
     studies
    1.46
     assessments
    1.42
    Activations Density 0.381%

    No Known Activations