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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. 18179
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    INDEX
    Explanations

    phrases referring to high-quality or top-tier attributes

    oai_token-act-pair · gpt-3.5-turbo

    phrases denoting different levels or classes of quality or status

    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
    pty
    -0.78
    udeb
    -0.75
    WAR
    -0.71
    addon
    -0.70
    yang
    -0.69
    Chart
    -0.67
    irlf
    -0.67
    lost
    -0.66
    went
    -0.66
    adra
    -0.65
    POSITIVE LOGITS
     talent
    1.13
     performers
    1.10
     quality
    1.03
     performer
    1.02
     caliber
    0.98
     talents
    0.94
     intellect
    0.93
     sized
    0.92
     performance
    0.92
     athlete
    0.92
    Activations Density 0.191%

    No Known Activations