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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. 8214
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    Explanations

    phrases related to achieving success or recognition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to gaining or accumulating something, particularly achievements or support

    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
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    Negative Logits
     livest
    -0.77
     Shelter
    -0.65
     warr
    -0.65
     Settlement
    -0.64
     Koen
    -0.61
     Friendly
    -0.60
     friendly
    -0.59
    Gas
    -0.59
     Golf
    -0.58
     Loan
    -0.58
    POSITIVE LOGITS
    interstitial
    0.97
    cffff
    0.89
    gie
    0.80
    OGR
    0.78
    ufact
    0.78
    uchin
    0.78
    pload
    0.77
    igham
    0.75
    aukee
    0.75
    anche
    0.75
    Activations Density 0.053%

    No Known Activations