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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. 6563
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    Explanations

    words related to acceleration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acceleration and measuring speed

    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
    rien
    -0.80
    bah
    -0.75
    sworth
    -0.74
    aida
    -0.73
    loo
    -0.71
    mates
    -0.71
    algia
    -0.69
    nikov
    -0.69
    ocular
    -0.69
    oro
    -0.68
    POSITIVE LOGITS
     acceler
    1.00
     acceleration
    1.00
     accelerating
    0.90
    celer
    0.87
     depreciation
    0.87
     tempo
    0.83
     accelerate
    0.81
    uate
    0.81
     accelerator
    0.80
     braking
    0.80
    Activations Density 0.027%

    No Known Activations