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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
    11. 12318
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    Explanations

    phrases related to different types and instances of fraud

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fraudulent activities and related criminal charges

    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
    %"
    -0.74
    ŃĶ
    -0.68
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.64
    baugh
    -0.62
     Candle
    -0.61
     Pesh
    -0.61
    bian
    -0.61
    STD
    -0.58
    VILLE
    -0.58
    =/
    -0.58
    POSITIVE LOGITS
    ulence
    1.36
    ulent
    1.23
     fraud
    1.07
    sters
    0.95
    ster
    0.91
     scam
    0.90
    ously
    0.86
     perpetrated
    0.81
    raud
    0.80
    ouri
    0.79
    Activations Density 0.015%

    No Known Activations