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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. 10-RES-JB
    6. 8739
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    Explanations

    phrases related to helping and assisting others in challenging situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eous
    -0.72
    night
    -0.69
    ebin
    -0.68
    Published
    -0.64
    LOG
    -0.63
    Voice
    -0.62
    potion
    -0.61
    ghost
    -0.60
    alloc
    -0.59
    ãĤ´ãĥ³
    -0.59
    POSITIVE LOGITS
     attendance
    1.19
     whom
    0.92
     distress
    0.92
     charge
    0.87
     particular
    0.86
     positions
    0.83
     uniform
    0.83
     custody
    0.82
    jured
    0.80
    bred
    0.80
    Activations Density 0.220%

    No Known Activations