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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. 16832
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    INDEX
    Explanations

    sentences containing phrases expressing intensity, comparison, or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    predicates and descriptions indicating states of being or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Deaths
    -0.72
    ainers
    -0.71
     Inventory
    -0.69
     Saud
    -0.67
     Artists
    -0.64
     Factors
    -0.64
     Landing
    -0.64
     Sources
    -0.63
     Hust
    -0.61
     Peoples
    -0.61
    POSITIVE LOGITS
     indistinguishable
    1.03
     neither
    1.00
     antit
    1.00
     reminiscent
    1.00
     supposed
    0.98
     conducive
    0.96
     remotely
    0.91
     mutually
    0.90
    cedented
    0.90
     otherwise
    0.90
    Activations Density 0.205%

    No Known Activations