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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. 1-RES-JB
    11. 866
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    Explanations

    short phrases indicating a call to action or instruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a request for information or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    perty
    -0.81
     concess
    -0.81
    pered
    -0.76
     detachment
    -0.64
     charge
    -0.63
    GB
    -0.63
    mph
    -0.62
     stewards
    -0.61
     revolt
    -0.60
     gent
    -0.59
    POSITIVE LOGITS
    ãĤ¤ãĥĪ
    1.06
    ãĤ¦ãĤ¹
    1.02
     Find
    0.96
    Find
    0.92
    ãĥĥãĥī
    0.84
    find
    0.84
    imon
    0.82
    ãĤ¿
    0.82
    ById
    0.81
    ings
    0.78
    Activations Density 0.009%

    No Known Activations