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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. 1329
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    Explanations

    phrases related to creating or setting up new initiatives or organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the establishment or creation of new entities or plans

    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
    Not in Any Lists

    No Comments

    Negative Logits
    stuff
    -0.77
    âĨij
    -0.69
    emo
    -0.68
    webkit
    -0.67
    iev
    -0.65
    SOURCE
    -0.65
    gnu
    -0.64
     dstg
    -0.64
    hoe
    -0.63
    roller
    -0.63
    POSITIVE LOGITS
     anew
    0.91
     an
    0.86
     a
    0.84
     alliances
    0.80
     safeguards
    0.80
     partnerships
    0.79
     committees
    0.78
     separate
    0.77
     scholarships
    0.77
     new
    0.76
    Activations Density 0.259%

    No Known Activations