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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 20188
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    Explanations

    phrases related to gratitude or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of gratitude and acknowledgment of contributions or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.85
    icut
    -0.82
    ires
    -0.80
    isec
    -0.77
    Scale
    -0.76
    ensity
    -0.75
    daq
    -0.74
     proport
    -0.73
    ihar
    -0.73
    sburg
    -0.73
    POSITIVE LOGITS
     generous
    1.03
     clever
    0.97
     luck
    0.93
     deft
    0.88
     ingenuity
    0.88
     donations
    0.86
     savvy
    0.85
     ingenious
    0.84
     diligent
    0.84
     generosity
    0.82
    Activations Density 0.254%

    No Known Activations