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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. 0-RES-JB
    11. 1720
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    Explanations

    references to specific events or conferences, like "Expo" or "Jubilee", potentially related to politics or economics

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enne
    -0.70
     targ
    -0.67
     javascript
    -0.66
    sych
    -0.64
     Wald
    -0.64
     fidelity
    -0.62
     meager
    -0.62
     typ
    -0.61
    ros
    -0.58
    κ
    -0.58
    POSITIVE LOGITS
     Expo
    2.85
    ilee
    1.46
    neau
    1.36
     Exhibition
    1.28
     Nationals
    1.23
     Factory
    1.16
     Pavilion
    1.10
     Minister
    1.03
     Auditor
    1.00
     Competition
    0.98
    Activations Density 0.017%

    No Known Activations