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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. 9-RES-JB
    6. 8037
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    Explanations

    details related to reported incidents, including descriptions of individuals and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of individuals, particularly vulnerable populations involved in humanitarian contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rency
    -0.61
     Approach
    -0.59
     competitor
    -0.56
     Supports
    -0.56
     predicts
    -0.55
    forcement
    -0.55
    STD
    -0.54
     Requires
    -0.54
     Seller
    -0.53
    pires
    -0.53
    POSITIVE LOGITS
     themselves
    1.17
    selves
    1.15
     selves
    0.94
     numbered
    0.94
    were
    0.93
     disembark
    0.92
     corpses
    0.90
     were
    0.87
    geries
    0.85
     individually
    0.85
    Activations Density 0.995%

    No Known Activations