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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. 5056
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    Explanations

    mentions of speeches

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "speech."

    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
     Soldiers
    -0.69
     Users
    -0.62
    ahn
    -0.59
     Associ
    -0.59
    finder
    -0.58
     saline
    -0.56
     intrusive
    -0.56
     coats
    -0.55
    âĺħ
    -0.55
    âĺĨ
    -0.54
    POSITIVE LOGITS
    writer
    1.04
    writers
    1.01
     speeches
    0.90
     delivered
    0.87
    writing
    0.87
     speech
    0.86
    orial
    0.83
     Speech
    0.82
    speech
    0.80
     denouncing
    0.79
    Activations Density 0.068%

    No Known Activations