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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. 9-RES-JB
    6. 21032
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    Explanations

    actions related to causing harm or exerting control over others

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to criminal activities and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zai
    -0.62
    nai
    -0.61
    ftime
    -0.59
    hua
    -0.59
    nen
    -0.57
    atic
    -0.56
    icz
    -0.55
    onte
    -0.54
    ukong
    -0.53
     Accessed
    -0.53
    POSITIVE LOGITS
     them
    2.36
     THEM
    1.95
    them
    1.87
     Them
    1.72
     ones
    1.65
     theirs
    1.54
    they
    1.19
     those
    1.18
    They
    1.17
     hers
    1.09
    Activations Density 2.114%

    No Known Activations