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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. 2-RES-JB
    6. 10887
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    INDEX
    Explanations

    words related to complex and intricate systems or problems

    oai_token-act-pair · gpt-3.5-turbo

    references to complexity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Citizens
    -0.68
    endar
    -0.63
    amina
    -0.62
    vil
    -0.60
    unes
    -0.59
     millennium
    -0.58
    Ķ
    -0.58
    direct
    -0.57
    rine
    -0.57
    inel
    -0.57
    POSITIVE LOGITS
     complexity
    1.05
     complexities
    0.87
     proble
    0.87
     complicate
    0.83
    mble
    0.83
     cumbers
    0.81
    iness
    0.77
    iveness
    0.77
     nuance
    0.76
    layer
    0.76
    Activations Density 0.010%

    No Known Activations