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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. 19694
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    Explanations

    prominent names associated with the content of the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    proper names, likely related to individuals in different contexts

    oai_token-act-pair · gpt-3.5-turbo
    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
    teenth
    -0.79
    auga
    -0.76
     curfew
    -0.73
    soDeliveryDate
    -0.69
    orie
    -0.67
    angular
    -0.67
    nant
    -0.65
    uracy
    -0.64
    perature
    -0.63
     hikers
    -0.62
    POSITIVE LOGITS
    stein
    1.30
    feld
    1.09
    baum
    0.98
    berg
    0.98
     Katz
    0.91
    bard
    0.90
    wald
    0.86
    itsch
    0.85
    owitz
    0.80
    bach
    0.80
    Activations Density 0.065%

    No Known Activations