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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. 9-RES-JB
    6. 9673
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    pecially
    -0.72
    ÙĴ
    -0.71
    iably
    -0.70
    âĹ¼
    -0.67
     preferably
    -0.67
     Surviv
    -0.66
    amorph
    -0.64
    pron
    -0.63
    áµ
    -0.63
    ãĥĦ
    -0.63
    POSITIVE LOGITS
     Replay
    0.96
     Copyright
    0.88
     copied
    0.86
     probe
    0.83
     amid
    0.79
     |
    0.75
    Adds
    0.75
     sparks
    0.72
     inquiry
    0.72
     prompts
    0.72
    Activations Density 0.512%

    No Known Activations