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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. 7-RES-JB
    11. 4106
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    Explanations

    references to the company "Enron" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Enron scandal and related entities

    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
    ongyang
    -0.59
     inver
    -0.57
     insecurity
    -0.56
    erest
    -0.55
     aggregation
    -0.55
     enterprise
    -0.55
    ymph
    -0.54
     enterprises
    -0.54
     distingu
    -0.54
    drawn
    -0.54
    POSITIVE LOGITS
     Lauder
    0.93
     Lodge
    0.83
     Pradesh
    0.78
    cia
    0.74
     Abbey
    0.73
    Corp
    0.72
    911
    0.71
    ion
    0.71
    ption
    0.68
    zzo
    0.68
    Activations Density 0.291%

    No Known Activations