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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. 1-RES-JB
    11. 15971
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    Explanations

    words related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to crime and criminality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    metry
    -0.77
    zl
    -0.74
    zza
    -0.72
    orship
    -0.72
    zzo
    -0.71
    ories
    -0.70
    atz
    -0.68
     Pixie
    -0.65
    aran
    -0.64
    chell
    -0.63
    POSITIVE LOGITS
     behavi
    1.03
     criminal
    1.02
    riminal
    0.95
     prosecutions
    0.95
     offences
    0.91
     trafficking
    0.88
    criminal
    0.87
     prosecution
    0.86
     mastermind
    0.85
     Investigative
    0.84
    Activations Density 0.016%

    No Known Activations