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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. 7-RES-JB
    11. 5025
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    Explanations

    phrases introducing a new theme or topic

    oai_token-act-pair · gpt-3.5-turbo

    frequent occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unta
    -0.84
     thereby
    -0.82
    arta
    -0.80
    rade
    -0.79
    thood
    -0.78
    soever
    -0.77
    ooth
    -0.77
    ector
    -0.77
    aken
    -0.74
    Europe
    -0.73
    POSITIVE LOGITS
     basics
    1.15
     simplest
    1.12
     obligatory
    1.06
     possibility
    1.00
     occasional
    0.99
    oret
    0.99
     irony
    0.97
     gist
    0.96
     idea
    0.96
     smallest
    0.96
    Activations Density 0.526%

    No Known Activations