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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. 23679
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    Explanations

    phrases related to legal actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to jail time and imprisonment

    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
    yip
    -1.07
    omorphic
    -0.81
    к
    -0.78
    Ò
    -0.75
    é¾įåĸļ士
    -0.75
     guiActiveUnfocused
    -0.73
    å§«
    -0.71
    ãĤ§
    -0.71
    soDeliveryDate
    -0.71
    sonian
    -0.71
    POSITIVE LOGITS
     Detention
    0.86
     Rehab
    0.85
     Sergeant
    0.84
     interrogation
    0.81
     detention
    0.81
     psychiatric
    0.78
     confiscated
    0.78
     interrogated
    0.77
     Deaths
    0.76
     inmate
    0.74
    Activations Density 0.502%

    No Known Activations