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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. 6767
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    INDEX
    Explanations

    multi-word phrases related to rankings or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical rankings or positions

    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
    rador
    -0.82
    outer
    -0.73
    Materials
    -0.69
     Shroud
    -0.66
     Kafka
    -0.64
    rait
    -0.62
    raught
    -0.62
    heid
    -0.62
    axter
    -0.61
    hire
    -0.61
    POSITIVE LOGITS
    plates
    1.01
    plate
    0.87
    enance
    0.85
    esses
    0.82
     crunch
    0.79
    metry
    0.77
    number
    0.74
    atur
    0.71
    eah
    0.70
    ãĥ¼ãĥ³
    0.69
    Activations Density 0.046%

    No Known Activations