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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. 9-RES-JB
    11. 2570
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    Explanations

    phrases related to advice, instructions, and requests

    oai_token-act-pair · gpt-3.5-turbo

    expressions of communication and requests for action or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     me
    -0.80
    ikuman
    -0.72
     herself
    -0.68
     himself
    -0.65
    lie
    -0.61
    anni
    -0.60
    ringe
    -0.58
    Reply
    -0.57
     ME
    -0.57
    alli
    -0.57
    POSITIVE LOGITS
     ourselves
    1.93
     our
    1.21
     ours
    1.00
     OUR
    0.91
    Our
    0.80
     Our
    0.78
     thee
    0.69
    etimes
    0.68
     coats
    0.65
     together
    0.65
    Activations Density 0.754%

    No Known Activations