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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. 8-RES-JB
    11. 22672
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    INDEX
    Explanations

    attributes or characteristics of items such as colors, features, and modes

    oai_token-act-pair · gpt-3.5-turbo

    information related to product variations and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rote
    -0.82
    owsky
    -0.78
    amon
    -0.78
    efe
    -0.78
     mistake
    -0.74
    issance
    -0.70
     misunderstanding
    -0.68
    ļ
    -0.67
    yrights
    -0.66
    dding
    -0.66
    POSITIVE LOGITS
     depending
    0.99
     ranging
    0.94
     customizable
    0.91
     colours
    0.88
     colors
    0.85
     modes
    0.85
     sizes
    0.85
     presets
    0.83
     varying
    0.83
     RGB
    0.81
    Activations Density 0.423%

    No Known Activations