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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. 8301
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    Explanations

    references to innocence or innocence being compromised

    oai_token-act-pair · gpt-3.5-turbo

    references to innocent individuals and their vulnerability 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
    Not in Any Lists

    No Comments

    Negative Logits
    ector
    -0.71
    ingo
    -0.71
    artney
    -0.71
    TOP
    -0.70
    ribed
    -0.66
    UNCH
    -0.66
    jriwal
    -0.66
    anwhile
    -0.64
    division
    -0.63
    riber
    -0.62
    POSITIVE LOGITS
     bystanders
    1.60
     bystand
    1.46
     innocent
    1.13
     civilians
    1.12
     victims
    1.02
     innoc
    0.93
     collateral
    0.84
     pedestrians
    0.83
     souls
    0.83
     unborn
    0.81
    Activations Density 0.033%

    No Known Activations