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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. 6-RES-JB
    6. 8420
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    INDEX
    Explanations

    phrases related to accepting or dealing with difficult situations or facts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to coming to terms or understanding situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ê
    -0.80
    endar
    -0.74
     lobb
    -0.70
    obbies
    -0.70
    lav
    -0.69
    fed
    -0.68
     Editors
    -0.67
    jiang
    -0.65
    jab
    -0.65
    aries
    -0.65
    POSITIVE LOGITS
     PTSD
    0.77
     realities
    0.73
     truths
    0.72
     disson
    0.71
     defeat
    0.71
     realization
    0.70
     trauma
    0.69
    Struct
    0.69
    Oracle
    0.69
    sett
    0.68
    Activations Density 0.132%

    No Known Activations