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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. 5-RES-JB
    6. 5887
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    INDEX
    Explanations

    references to trading or trades

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to trades in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.80
    isan
    -0.77
    osate
    -0.75
    icka
    -0.74
    idem
    -0.74
    ebin
    -0.73
    Gi
    -0.72
    iary
    -0.70
    andi
    -0.70
    jac
    -0.67
    POSITIVE LOGITS
     deadline
    0.89
     waivers
    0.81
     Deadline
    0.78
    able
    0.77
     acquisitions
    0.76
    offs
    0.75
     kicker
    0.70
    ameda
    0.70
     swaps
    0.69
     bait
    0.68
    Activations Density 0.032%

    No Known Activations