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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16516
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    INDEX
    Explanations

    financial and numerical expressions, such as percentage figures and monetary values

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistical measures and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bley
    -0.69
     Scholars
    -0.68
    iquid
    -0.67
    enegger
    -0.64
     Moody
    -0.61
     Bj
    -0.60
    odore
    -0.59
    rawdownloadcloneembedreportprint
    -0.58
     Clifford
    -0.58
     shame
    -0.58
    POSITIVE LOGITS
    dollar
    0.88
    million
    0.88
    unit
    0.87
    paragraph
    0.86
    minute
    0.85
    committee
    0.83
    speech
    0.83
    lux
    0.83
    charge
    0.83
    command
    0.82
    Activations Density 0.030%

    No Known Activations