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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. 3-RES-JB
    11. 17193
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    Explanations

    phrases related to criminal or harmful actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of committing crimes or harmful actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    sama
    -0.68
    gypt
    -0.66
    dayName
    -0.65
     Ain
    -0.65
    ****************
    -0.64
    addin
    -0.64
    Fram
    -0.61
    adish
    -0.61
    ugen
    -0.61
     Plat
    -0.60
    POSITIVE LOGITS
     commit
    0.86
    commit
    0.82
     suicide
    0.82
     commits
    0.81
     committed
    0.79
    utions
    0.79
    uates
    0.76
    stant
    0.75
     committing
    0.75
     adultery
    0.73
    Activations Density 0.012%

    No Known Activations