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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. 7-RES-JB
    6. 6000
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    Explanations

    positive emotions or expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enges
    -0.74
    eworthy
    -0.69
    ELD
    -0.65
    ftime
    -0.64
     Russo
    -0.62
    uner
    -0.62
    amental
    -0.61
    velength
    -0.61
    arching
    -0.60
     Glob
    -0.60
    POSITIVE LOGITS
    'll
    0.93
     didnt
    0.90
     hadn
    0.88
     didn
    0.88
    'd
    0.86
    're
    0.84
    've
    0.82
     could
    0.81
     forgot
    0.80
     wouldn
    0.80
    Activations Density 0.229%

    No Known Activations