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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. 9-RES-JB
    11. 4637
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    INDEX
    Explanations

    phrases related to company acquisitions and business deals

    oai_token-act-pair · gpt-3.5-turbo

    transactions or acquisitions involving companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Statistics
    -0.79
     sightings
    -0.76
     checkpoints
    -0.76
     crit
    -0.75
     epidemic
    -0.74
     routines
    -0.73
     comfort
    -0.73
    humane
    -0.73
    ometers
    -0.71
    Temperature
    -0.70
    POSITIVE LOGITS
     shareholders
    1.56
     shareholder
    1.42
     investors
    1.35
     investor
    1.35
     Ventures
    1.34
     Holdings
    1.28
     IPO
    1.25
     conglomerate
    1.22
     subsidiaries
    1.21
     subsidiary
    1.20
    Activations Density 0.675%

    No Known Activations