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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. 12-RES-JB
    11. 4866
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    INDEX
    Explanations

    words related to news and specific events such as legislation, sports, and construction projects

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    emotional intensity and descriptors related to progression and excitement

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Worst
    -0.91
    fail
    -0.89
     Worse
    -0.87
     Failure
    -0.86
     Fail
    -0.84
    ocaust
    -0.83
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.81
    Invalid
    -0.80
    ___
    -0.80
    Viol
    -0.80
    POSITIVE LOGITS
     anticipation
    1.04
     excited
    0.98
     eager
    0.91
     anticipated
    0.90
     gearing
    0.88
     excitement
    0.88
     familiar
    0.87
     primed
    0.86
     preparations
    0.86
     finalized
    0.86
    Activations Density 0.840%

    No Known Activations