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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. 17810
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    INDEX
    Explanations

    phrases indicating evaluation or judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around assertions, claims, or conclusions

    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
     lawy
    -0.76
     flyers
    -0.75
     resur
    -0.70
     flo
    -0.68
     bil
    -0.66
     clipboard
    -0.66
     HUD
    -0.65
     mobs
    -0.65
     chest
    -0.64
     lymph
    -0.62
    POSITIVE LOGITS
    ception
    0.80
    paralle
    0.75
    answer
    0.75
    udos
    0.74
    agine
    0.74
    ãĤ¦ãĤ¹
    0.72
    thinkable
    0.71
     Attribution
    0.68
     Prediction
    0.68
    trace
    0.68
    Activations Density 0.247%

    No Known Activations