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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. 6-RES-JB
    6. 6692
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    INDEX
    Explanations

    names involving communications and media

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of media and their coverage in relation to events or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cop
    -0.64
     positional
    -0.62
     partial
    -0.61
     Construction
    -0.59
    sin
    -0.59
    tein
    -0.58
     contraction
    -0.57
     rebound
    -0.55
    ometric
    -0.55
     Integrity
    -0.55
    POSITIVE LOGITS
     circles
    0.93
    lance
    0.80
    rooms
    0.80
    waves
    0.74
    Nation
    0.72
    geist
    0.72
     pundits
    0.72
    agents
    0.71
    fters
    0.70
    ourt
    0.70
    Activations Density 0.300%

    No Known Activations