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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. 3-RES-JB
    11. 12448
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    INDEX
    Explanations

    names or terms related to individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of certain names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phas
    -0.93
    ezvous
    -0.88
    pees
    -0.83
    elled
    -0.82
    seys
    -0.82
    gewater
    -0.80
    MER
    -0.77
    stration
    -0.77
    glas
    -0.77
    fixed
    -0.76
    POSITIVE LOGITS
     Mub
    0.71
     Qiao
    0.71
     innoc
    0.70
     Beir
    0.69
    iao
    0.67
     Gujar
    0.67
     snatch
    0.67
     cardio
    0.65
     blockers
    0.64
     WARNING
    0.62
    Activations Density 0.028%

    No Known Activations