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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. 3774
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    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to quantities or measurements

    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
    Âł
    -1.02
     Whilst
    -0.97
    âĢ¦..
    -0.92
    ↵Âł
    -0.92
     Âł
    -0.92
    !".
    -0.91
    ³³
    -0.91
    ³³³
    -0.90
    "âĢ¦
    -0.89
    ?".
    -0.88
    POSITIVE LOGITS
     percent
    1.08
     mph
    0.92
     milliseconds
    0.87
     cents
    0.86
     centimeters
    0.83
    ½
    0.81
     miles
    0.79
     ounces
    0.76
     pounds
    0.76
     inches
    0.75
    Activations Density 0.298%

    No Known Activations