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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. 5-RES-JB
    6. 10499
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    Explanations

    combinations of different elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to combinations of elements or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.77
    yers
    -0.74
    artisan
    -0.72
    criptions
    -0.71
    iak
    -0.71
    onds
    -0.69
    zbollah
    -0.69
    selves
    -0.68
    cott
    -0.68
    gor
    -0.67
    POSITIVE LOGITS
     thereof
    0.75
     combinations
    0.71
     combination
    0.70
    ALLY
    0.68
     accelerator
    0.67
     between
    0.66
     seamlessly
    0.65
     weave
    0.62
    opt
    0.61
    ilde
    0.61
    Activations Density 0.019%

    No Known Activations