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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. 6-RES-JB
    11. 15446
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    Explanations

    phrases describing qualities or characteristics of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that define or explain a concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.77
     Yard
    -0.76
     QUEST
    -0.66
    76561
    -0.66
    ertodd
    -0.64
    Band
    -0.64
    izons
    -0.63
     Tot
    -0.62
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
    HEAD
    -0.62
    POSITIVE LOGITS
     raining
    0.85
    elf
    0.73
    ieth
    0.71
    alian
    0.65
     motivating
    0.63
    rous
    0.61
    pires
    0.61
    unes
    0.60
     happening
    0.59
    RH
    0.59
    Activations Density 0.086%

    No Known Activations