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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. 6-RES-JB
    11. 21994
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    Explanations

    phrases related to giving high praise or approval

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to praise or acclaim

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    thia
    -0.86
    uyomi
    -0.80
    ascript
    -0.78
     inhib
    -0.75
    hing
    -0.74
    xy
    -0.72
    omaly
    -0.69
     diapers
    -0.67
    ierrez
    -0.66
    ilib
    -0.66
    POSITIVE LOGITS
    enance
    0.78
     virtues
    0.78
     praises
    0.75
     hailed
    0.74
     aloud
    0.72
    agne
    0.70
    deck
    0.67
     goodbye
    0.67
    oused
    0.67
    GGGG
    0.66
    Activations Density 0.042%

    No Known Activations