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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. 4-RES-JB
    6. 23323
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    Explanations

    mentions of resources, resources-related activities, and support for improvement

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of resources

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

    No Comments

    Negative Logits
    arella
    -0.86
    jong
    -0.83
    alone
    -0.73
    creen
    -0.71
    oor
    -0.70
    erella
    -0.70
    esta
    -0.70
    ker
    -0.69
    bone
    -0.69
    emn
    -0.67
    POSITIVE LOGITS
     resources
    0.96
    fulness
    0.91
    ful
    0.88
     Resources
    0.78
    icity
    0.77
    FUL
    0.77
    fully
    0.77
     resource
    0.76
    cit
    0.76
    ically
    0.74
    Activations Density 0.013%

    No Known Activations