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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. 4832
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    Explanations

    terms related to resources or tools in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to resources and resource management

    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
    arella
    -0.90
    alone
    -0.79
    jong
    -0.75
    erella
    -0.75
    ker
    -0.74
    oor
    -0.73
    bone
    -0.72
    emn
    -0.70
    creen
    -0.69
    redd
    -0.69
    POSITIVE LOGITS
     resources
    0.97
    fulness
    0.92
    icity
    0.80
     Resources
    0.79
     allocation
    0.78
    ically
    0.77
    cit
    0.77
    ful
    0.77
     extraction
    0.74
    iture
    0.72
    Activations Density 0.019%

    No Known Activations