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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. 11-RES-JB
    11. 7730
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    INDEX
    Explanations

    phrases related to quantity or number occurrence

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating novelty, significance, or substantial quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    someone
    -0.95
    expression
    -0.85
    brance
    -0.79
    =~
    -0.76
    rology
    -0.75
    antry
    -0.74
    uber
    -0.74
    ablishment
    -0.74
    culture
    -0.73
    urgy
    -0.72
    POSITIVE LOGITS
     paragraphs
    1.17
     categories
    1.15
     pairs
    1.10
     pillars
    1.08
     slots
    1.06
     bedrooms
    1.05
     halves
    1.05
     editions
    1.04
     phases
    1.03
     finalists
    1.02
    Activations Density 0.296%

    No Known Activations