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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. 7-RES-JB
    6. 10785
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    INDEX
    Explanations

    instances of the word "scaling" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scaling or increasing capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.71
    odor
    -0.68
    uala
    -0.66
    ech
    -0.66
    algia
    -0.65
    esson
    -0.65
    odge
    -0.65
    icipated
    -0.64
    riad
    -0.64
    essler
    -0.64
    POSITIVE LOGITS
    Factor
    0.84
    itized
    0.81
     heights
    0.81
     scale
    0.79
     invari
    0.75
     scales
    0.74
     scaled
    0.72
     ratios
    0.72
    Scale
    0.70
     adjustment
    0.69
    Activations Density 0.026%

    No Known Activations