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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. 4-RES-JB
    11. 4276
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    INDEX
    Explanations

    words related to illumination and light sources

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of light

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

    No Comments

    Negative Logits
    apons
    -0.77
    ophys
    -0.77
     resil
    -0.72
    keye
    -0.72
    CVE
    -0.71
    Filename
    -0.68
    icter
    -0.67
     mathemat
    -0.67
     unnecess
    -0.67
    ij士
    -0.67
    POSITIVE LOGITS
    enment
    1.21
    lights
    1.12
    ning
    0.93
    ners
    0.90
    aber
    0.89
    moon
    0.87
    light
    0.87
    weights
    0.86
    lighting
    0.83
     Lamp
    0.82
    Activations Density 0.009%

    No Known Activations