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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. 8900
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    INDEX
    Explanations

    mentions of investments and business activities

    oai_token-act-pair · gpt-3.5-turbo

    references to investment opportunities and activities across various sectors

    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
    ERROR
    -0.78
    ¿½
    -0.77
    HUD
    -0.77
    UFC
    -0.71
    olf
    -0.70
    awn
    -0.68
    ãĤ©
    -0.67
    Invalid
    -0.65
    sle
    -0.65
    spawn
    -0.65
    POSITIVE LOGITS
     accordance
    1.07
     lieu
    1.07
    effic
    1.05
    efficiency
    1.02
     earnest
    1.00
     behalf
    0.99
     Asia
    0.96
     vitro
    0.93
     China
    0.89
     futures
    0.89
    Activations Density 0.318%

    No Known Activations