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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. 14728
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    Explanations

    terms related to different modes or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to various operational modes or configurations

    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
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    Negative Logits
    enegger
    -0.86
    mony
    -0.86
    owan
    -0.83
    iannopoulos
    -0.75
    areth
    -0.74
    bones
    -0.73
    istani
    -0.72
    roma
    -0.72
    ingly
    -0.71
    bone
    -0.69
    POSITIVE LOGITS
     selector
    0.83
    etting
    0.75
     parity
    0.73
     upgr
    0.72
     enabled
    0.71
     Shift
    0.67
     mode
    0.66
     activated
    0.66
     modes
    0.65
    ounce
    0.64
    Activations Density 0.039%

    No Known Activations