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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. 2-RES-JB
    6. 7504
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    INDEX
    Explanations

    phrases related to exploitation, especially in societal contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of exploitation

    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
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    No Comments

    Negative Logits
    arat
    -0.75
    gran
    -0.74
    board
    -0.73
    cone
    -0.72
    upon
    -0.72
    hair
    -0.72
    ucket
    -0.72
    affer
    -0.69
     messenger
    -0.69
    seller
    -0.67
    POSITIVE LOGITS
     exploitation
    1.08
     exploited
    0.97
     exploiting
    0.83
     exploit
    0.78
    ãĥ¼ãĥĨãĤ£
    0.74
    wana
    0.74
    eering
    0.73
     vulner
    0.72
    ulner
    0.72
     Victim
    0.69
    Activations Density 0.011%

    No Known Activations