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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. 9-RES-JB
    11. 23684
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    Explanations

    phrases related to committing crimes and getting arrested

    oai_token-act-pair · gpt-3.5-turbo

    references to arrests and legal consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    DragonMagazine
    -0.84
    illin
    -0.81
    8000
    -0.79
    ires
    -0.76
    7601
    -0.74
    soDeliveryDate
    -0.72
    elle
    -0.71
    options
    -0.70
    edin
    -0.69
    atl
    -0.67
    POSITIVE LOGITS
     violating
    1.33
     breaching
    1.20
     refusing
    1.14
     treason
    1.12
     failing
    1.12
    gery
    1.11
     violations
    1.08
     tresp
    1.06
     questioning
    1.04
     heresy
    1.01
    Activations Density 0.096%

    No Known Activations