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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5548
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    Explanations

    words related to burglary and theft

    oai_token-act-pair · gpt-3.5-turbo

    terms related to burglary and theft

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.85
    usha
    -0.81
    utical
    -0.81
    Stage
    -0.72
    imester
    -0.72
    shr
    -0.70
    utics
    -0.69
    nesota
    -0.69
    uberty
    -0.69
    utic
    -0.68
    POSITIVE LOGITS
     burg
    1.35
     burgl
    1.26
     burglary
    1.14
    undy
    0.91
     Burg
    0.84
     alarms
    0.81
    lar
    0.77
     robbery
    0.76
     suspects
    0.76
    rosse
    0.74
    Activations Density 0.018%

    No Known Activations