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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. 3-RES-JB
    11. 23844
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    Explanations

    terms related to problems or challenges

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate past actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Hacker
    -0.56
     Wake
    -0.56
     Hands
    -0.56
     CVE
    -0.56
     Patriots
    -0.56
     Ding
    -0.55
     instant
    -0.55
     Lime
    -0.53
     blazing
    -0.53
     RUN
    -0.53
    POSITIVE LOGITS
    erous
    0.78
    erial
    0.77
    donald
    0.75
    sembly
    0.72
    urnal
    0.71
    aurus
    0.69
    imus
    0.69
    ophobic
    0.68
    arious
    0.68
    xual
    0.68
    Activations Density 0.432%

    No Known Activations