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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. 16625
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    Explanations

    phrases related to laws and legal contexts, specifically regarding state and federal laws

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and contexts involving laws or governance

    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
    enegger
    -0.62
    milo
    -0.59
    apego
    -0.56
    acebook
    -0.55
    uilt
    -0.54
    oaded
    -0.53
    Tags
    -0.52
    urat
    -0.51
    Sov
    -0.50
    addafi
    -0.47
    POSITIVE LOGITS
     guise
    0.71
     nutshell
    0.67
     context
    0.65
     circles
    0.63
     vicinity
    0.63
     manner
    0.60
     hurry
    0.59
     midst
    0.59
     area
    0.57
     direction
    0.55
    Activations Density 0.884%

    No Known Activations