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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
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    Explanations

    references to criminal activities and law enforcement procedures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of firearms and related law enforcement contexts

    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
    DK
    -0.66
    soDeliveryDate
    -0.64
     Saga
    -0.59
     Nebula
    -0.56
    ankind
    -0.55
     Yug
    -0.55
     Theme
    -0.55
     Copenhagen
    -0.55
     Elves
    -0.55
     Warlock
    -0.53
    POSITIVE LOGITS
    nsic
    0.77
     criminal
    0.70
     forensic
    0.66
     vigilante
    0.64
     jail
    0.63
    hement
    0.61
     police
    0.60
     remorse
    0.60
     guiActiveUn
    0.60
     whistlebl
    0.59
    Activations Density 2.055%

    No Known Activations