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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. 0-RES-JB
    11. 20523
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    Explanations

    verbs related to actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "doing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izes
    -0.66
    ize
    -0.64
    ife
    -0.64
     Approximately
    -0.62
    geon
    -0.62
    stakes
    -0.61
    resent
    -0.60
    ylum
    -0.60
    immer
    -0.59
    idate
    -0.58
    POSITIVE LOGITS
     doing
    3.01
    doing
    2.51
     Doing
    2.30
     performing
    1.78
     behaving
    1.65
     conducting
    1.49
     messing
    1.49
     achieving
    1.47
     executing
    1.44
     completing
    1.43
    Activations Density 0.026%

    No Known Activations