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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 14001
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    Explanations

    terms related to uniforms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to uniformity and administrative concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zos
    -0.67
    ajor
    -0.66
    rol
    -0.64
    idespread
    -0.63
    odiac
    -0.63
    phabet
    -0.62
     marginalized
    -0.62
    tons
    -0.62
    agons
    -0.62
    irens
    -0.62
    POSITIVE LOGITS
     Uniform
    1.54
    administ
    1.08
    1024
    0.73
    1920
    0.70
    heit
    0.69
     ãĤµ
    0.69
     HIP
    0.66
    hazard
    0.63
    Domain
    0.62
    ename
    0.62
    Activations Density 0.005%

    No Known Activations