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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. 23623
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    Explanations

    mentions of legal or administrative terms related to judgment or authority

    oai_token-act-pair · gpt-3.5-turbo

    terms related to illustration and arbitration

    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
    Downloadha
    -0.80
     Leap
    -0.67
     palms
    -0.67
    ipple
    -0.67
     Toast
    -0.66
    OHN
    -0.65
     grip
    -0.64
     Sense
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
     Brach
    -0.62
    POSITIVE LOGITS
    rator
    1.53
    ration
    1.48
    rative
    1.43
    rations
    1.34
    rators
    1.33
    rat
    1.20
    rates
    1.19
    rated
    1.17
    rating
    1.17
    rary
    1.11
    Activations Density 0.085%

    No Known Activations