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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

    references to criminal activities or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to criminal activity or the criminal justice system

    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
    orship
    -0.79
     Pixie
    -0.74
    yip
    -0.73
    chell
    -0.71
    zl
    -0.70
    zzo
    -0.70
    metry
    -0.69
    zza
    -0.68
    pread
    -0.67
    reens
    -0.66
    POSITIVE LOGITS
    ized
    0.99
    ises
    0.92
    ised
    0.91
    izes
    0.87
     prosecutions
    0.87
     mastermind
    0.86
     criminal
    0.86
    riminal
    0.85
     offences
    0.85
     justice
    0.83
    Activations Density 0.017%

    No Known Activations