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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. 4-RES-JB
    11. 808
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    Explanations

    words related to stealing, theft, or looting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to theft and related criminal behavior

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

    No Comments

    Negative Logits
    ioxide
    -0.75
    nee
    -0.74
    BRE
    -0.71
    adal
    -0.71
    minist
    -0.69
    cond
    -0.68
     Bern
    -0.66
    nel
    -0.66
    Temperature
    -0.66
    thood
    -0.65
    POSITIVE LOGITS
    ibrary
    1.10
     looted
    1.03
     loot
    0.91
     looting
    0.86
     carts
    0.83
     Crate
    0.83
    owship
    0.81
     spo
    0.81
     crates
    0.80
     piles
    0.77
    Activations Density 0.006%

    No Known Activations