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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. 15600
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of hyphens and negative values

    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
     Bib
    -0.63
     indu
    -0.61
     guiIcon
    -0.60
     bumps
    -0.60
     Instrument
    -0.60
     Aether
    -0.59
     diam
    -0.59
     adv
    -0.58
     Neck
    -0.57
     Cobra
    -0.57
    POSITIVE LOGITS
    termin
    1.04
    quartered
    1.02
    driven
    1.00
    style
    0.97
    based
    0.96
    themed
    0.91
    sized
    0.90
    produced
    0.90
    hun
    0.87
    serving
    0.87
    Activations Density 0.068%

    No Known Activations