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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. 14767
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    INDEX
    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    negative indicators or descriptors related to time

    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
    ortunately
    -0.79
    ò
    -0.78
     eleph
    -0.75
    ñ
    -0.75
     pione
    -0.72
    ļéĨĴ
    -0.72
     practition
    -0.69
    isSpecial
    -0.68
    Þ
    -0.68
     outnumbered
    -0.67
    POSITIVE LOGITS
    03
    1.59
    06
    1.57
    02
    1.57
    08
    1.55
    04
    1.55
    07
    1.54
    09
    1.52
    05
    1.52
    01
    1.50
    29
    1.43
    Activations Density 0.027%

    No Known Activations