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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. 2275
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    Explanations

    references to high-ranking or important figures/entities within a specific context or domain

    oai_token-act-pair · gpt-3.5-turbo

    references to arch rivals or archbishops

    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
    Ô
    -0.84
    uana
    -0.82
    arettes
    -0.78
    leneck
    -0.74
     Citation
    -0.70
    ña
    -0.69
    ACTION
    -0.67
     ABE
    -0.66
    OTOS
    -0.65
     Serve
    -0.64
    POSITIVE LOGITS
    bishop
    1.06
    ipel
    1.04
     arch
    0.97
    di
    0.87
    itect
    0.85
    ivist
    0.81
    ival
    0.81
    rival
    0.81
    hum
    0.79
    arch
    0.76
    Activations Density 0.008%

    No Known Activations