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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16052
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    Explanations

    references to reports containing statistical data and analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and official documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.72
    ardless
    -0.67
    cale
    -0.66
    ventus
    -0.63
    afety
    -0.62
    OPA
    -0.61
     brill
    -0.61
    ;;;;
    -0.60
    TPPStreamerBot
    -0.59
    ompl
    -0.59
    POSITIVE LOGITS
     concludes
    1.06
     cites
    0.94
     adds
    0.92
     cited
    0.92
     summarizes
    0.91
     quoted
    0.85
     concluded
    0.85
     acknowledges
    0.85
     says
    0.83
     directs
    0.83
    Activations Density 0.187%

    No Known Activations