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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. 11-RES-JB
    11. 10296
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to crises and unstable situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arers
    -0.64
     corrid
    -0.59
     Chim
    -0.56
     Adin
    -0.56
    amples
    -0.55
    ints
    -0.53
     architects
    -0.53
    aml
    -0.53
     graduates
    -0.52
     Splash
    -0.52
    POSITIVE LOGITS
     mode
    1.21
     limbo
    1.06
    mode
    0.97
     hurry
    0.84
     predicament
    0.84
     financially
    0.82
     Mode
    0.80
     zone
    0.79
     orbit
    0.78
     position
    0.78
    Activations Density 0.254%

    No Known Activations