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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. 10-RES-JB
    11. 5068
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    Explanations

    sentences describing chaotic and violent situations

    oai_token-act-pair · gpt-3.5-turbo

    terminal punctuation and significant emotional moments in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isphere
    -0.82
     advoc
    -0.78
     phenomen
    -0.75
     dimensional
    -0.75
     renegoti
    -0.75
     instit
    -0.74
     concess
    -0.73
     leveraging
    -0.72
     affili
    -0.72
     specifically
    -0.71
    POSITIVE LOGITS
     Occasionally
    1.58
     Eventually
    1.55
     Others
    1.48
     Some
    1.45
     Sometimes
    1.38
     Dozens
    1.32
     Many
    1.28
     Several
    1.27
     Often
    1.27
     Afterwards
    1.26
    Activations Density 0.387%

    No Known Activations