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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 "low"

    oai_token-act-pair · gpt-3.5-turbo

    references to low measurements or values across various contexts

    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
     Amendments
    -0.80
    wright
    -0.78
     Tours
    -0.70
    archives
    -0.66
    gamer
    -0.65
    arenthood
    -0.65
    isans
    -0.64
    sect
    -0.63
     Archdemon
    -0.63
     Extensions
    -0.63
    POSITIVE LOGITS
     low
    3.22
    Low
    2.29
     Low
    2.22
     LOW
    2.16
    low
    2.10
     high
    2.08
     lowest
    1.92
     lows
    1.84
     lower
    1.83
    high
    1.56
    Activations Density 0.019%

    No Known Activations