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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 17499
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    Explanations

    mentions of illegal or forbidden activities or items

    oai_token-act-pair · gpt-3.5-turbo

    mentions of illegal activities or substances

    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
    soType
    -0.85
    frames
    -0.77
    osaurs
    -0.77
    TOP
    -0.76
    din
    -0.76
    ILA
    -0.72
    packs
    -0.72
    udeb
    -0.71
    akeru
    -0.71
    RM
    -0.71
    POSITIVE LOGITS
     trafficking
    0.97
    ly
    0.88
     illicit
    0.83
     substances
    0.83
     goods
    0.81
     lic
    0.81
     enterprises
    0.78
     undertaking
    0.78
    ishly
    0.76
     smuggling
    0.76
    Activations Density 0.015%

    No Known Activations