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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. 11-RES-JB
    11. 12980
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    Explanations

    terms related to automation, ease of use, and no-hassle operations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ease of use and simplicity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ð
    -0.80
    neutral
    -0.79
    ahime
    -0.71
    Franc
    -0.71
    favorite
    -0.67
    aez
    -0.67
    TPPStreamerBot
    -0.67
    ãĤ¢ãĥ«
    -0.65
    Fair
    -0.65
    qua
    -0.65
    POSITIVE LOGITS
     fuss
    1.03
     hassle
    1.00
     fancy
    0.99
     modifications
    0.97
     messing
    0.97
     worries
    0.93
     modification
    0.90
     wires
    0.90
     dependencies
    0.89
     worrying
    0.89
    Activations Density 0.157%

    No Known Activations