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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. 7-RES-JB
    11. 21358
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    Explanations

    phrases related to unique attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    content reflecting individual experiences and challenges within broader systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riott
    -0.73
    cise
    -0.70
    SourceFile
    -0.70
    aye
    -0.70
    Alert
    -0.68
    ORTS
    -0.68
    miah
    -0.67
    HUD
    -0.67
    Dur
    -0.67
    Laun
    -0.66
    POSITIVE LOGITS
     imperfect
    1.18
     compromises
    1.04
     risks
    0.98
     unpredictable
    0.96
     fluct
    0.96
     sometimes
    0.95
     stressful
    0.95
     complexities
    0.94
     uncertainties
    0.92
     messy
    0.92
    Activations Density 0.805%

    No Known Activations