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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. 0-RES-JB
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    Explanations

    the word "Red"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Red"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     psychiat
    -0.70
    essions
    -0.68
    ¬¼
    -0.66
    anu
    -0.65
    ocrates
    -0.65
    GMT
    -0.65
    zynski
    -0.65
    BOOK
    -0.64
    ason
    -0.64
    chery
    -0.64
    POSITIVE LOGITS
     Red
    3.56
    Red
    2.86
     RED
    2.29
     red
    1.95
    Redd
    1.88
     Yellow
    1.85
     Blue
    1.83
    red
    1.80
    RED
    1.76
     Purple
    1.65
    Activations Density 0.025%

    No Known Activations