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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. 8-RES-JB
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    Explanations

    mentions of lacking or needing something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scarcity or lack, particularly in relation to resources and capabilities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     aloud
    -0.80
     whenever
    -0.76
     accordingly
    -0.73
     Leilan
    -0.70
    opa
    -0.69
     briefly
    -0.67
     apart
    -0.66
     unsuccessfully
    -0.63
    igh
    -0.63
    LEASE
    -0.63
    POSITIVE LOGITS
     slightest
    1.48
     requisite
    1.11
     same
    1.04
    erity
    0.97
     luxury
    0.96
     opportunity
    0.96
     guts
    0.94
     ability
    0.92
     sophistication
    0.90
     courage
    0.90
    Activations Density 0.129%

    No Known Activations