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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. 10-RES-JB
    11. 6711
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    Explanations

    dialogue quotes from a conversation

    oai_token-act-pair · gpt-3.5-turbo

    dialogue in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.85
     stunts
    -0.78
     helicop
    -0.78
    aukee
    -0.72
     ingred
    -0.69
     incorpor
    -0.69
     endorsements
    -0.67
     maximal
    -0.67
     creatively
    -0.66
    otin
    -0.65
    POSITIVE LOGITS
    pause
    1.01
    Pause
    0.90
     Silence
    0.87
     Pyrrha
    0.82
     Slowly
    0.82
     Jaune
    0.82
     Suddenly
    0.80
     Calm
    0.79
     murm
    0.79
     Naruto
    0.78
    Activations Density 0.106%

    No Known Activations