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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. 2-RES-JB
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    Explanations

    terms related to optics and optometry

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otte
    -0.81
    enance
    -0.74
    059
    -0.69
    OULD
    -0.68
    ppo
    -0.67
    encia
    -0.66
    quote
    -0.65
    pering
    -0.64
    URRENT
    -0.63
    MER
    -0.63
    POSITIVE LOGITS
     Opt
    0.88
     optics
    0.87
     eleph
    0.82
    raviolet
    0.81
    ilon
    0.79
    imum
    0.77
    iasis
    0.76
     magnification
    0.75
     lasers
    0.73
    ificent
    0.72
    Activations Density 0.017%

    No Known Activations