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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. 6-RES-JB
    11. 16932
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    Explanations

    scores related to sports outcomes

    oai_token-act-pair · gpt-3.5-turbo

    numeric scores or statistics related to games or competitions

    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
     Sidd
    -0.62
     Ud
    -0.61
     Salon
    -0.60
     Gins
    -0.60
     cheated
    -0.59
     Shall
    -0.59
     Scare
    -0.59
     Signature
    -0.58
     JD
    -0.58
     Thr
    -0.57
    POSITIVE LOGITS
    quart
    0.86
    hour
    0.82
    liter
    0.81
    sama
    0.78
    year
    0.78
    billion
    0.77
    scale
    0.76
    sized
    0.76
    2017
    0.75
    methyl
    0.75
    Activations Density 0.053%

    No Known Activations