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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. 10-RES-JB
    11. 20300
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    Explanations

    dates in the format of month followed by a day and an activation value of 8 or higher

    oai_token-act-pair · gpt-3.5-turbo

    specific dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £
    -0.67
     £
    -0.60
    ãĤº
    -0.59
    -+
    -0.59
    ————————
    -0.57
    ESCO
    -0.57
    HOME
    -0.54
     Chaser
    -0.53
     DIRECT
    -0.53
    uez
    -0.52
    POSITIVE LOGITS
    th
    1.23
    ths
    0.92
    rd
    0.86
     2016
    0.82
     2017
    0.82
    thus
    0.79
     2014
    0.78
    icum
    0.76
     2015
    0.75
     2013
    0.75
    Activations Density 0.107%

    No Known Activations