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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. 12349
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    Explanations

    phrases related to prevention

    oai_token-act-pair · gpt-3.5-turbo

    the concept of preventing negative outcomes in various contexts

    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
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    Negative Logits
    framework
    -0.77
    ledged
    -0.76
    bard
    -0.75
    spirit
    -0.74
    lene
    -0.72
    geist
    -0.71
    çĦ
    -0.71
    vez
    -0.70
    kept
    -0.70
    toc
    -0.70
    POSITIVE LOGITS
     accidental
    1.05
     future
    1.04
     unnecessary
    0.99
     duplication
    0.98
     tragedies
    0.98
     bloodshed
    0.97
     regress
    0.96
     misuse
    0.96
     unauthorized
    0.95
     disasters
    0.95
    Activations Density 0.062%

    No Known Activations