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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. 2-RES-JB
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    Explanations

    mentions of criminal activity and criminals

    oai_token-act-pair · gpt-3.5-turbo

    references to criminals and criminality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zl
    -0.65
    /+
    -0.63
     cushion
    -0.63
     intervals
    -0.62
     Territories
    -0.62
    ories
    -0.62
    tz
    -0.60
    arp
    -0.60
     increments
    -0.60
     Pixie
    -0.59
    POSITIVE LOGITS
     offenders
    0.90
     prey
    0.89
     gangs
    0.86
     trespass
    0.86
     criminals
    0.84
     mastermind
    0.82
     offend
    0.80
     smugglers
    0.75
     offender
    0.75
    inals
    0.75
    Activations Density 0.015%

    No Known Activations