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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. 9-RES-JB
    11. 6986
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    Explanations

    phrases related to sports or competitions and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "finished" and its variations, indicating the completion of actions or seasons in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     umb
    -0.74
     genius
    -0.69
     UNCLASSIFIED
    -0.68
    /-
    -0.66
    usercontent
    -0.61
    shi
    -0.60
    ¢
    -0.59
     marble
    -0.58
     mole
    -0.58
    alcohol
    -0.57
    POSITIVE LOGITS
     2017
    1.17
     2015
    1.15
     2016
    1.11
     season
    1.07
     Week
    1.07
     2014
    1.06
     2013
    1.03
     2012
    1.00
     2018
    0.98
     2011
    0.91
    Activations Density 0.134%

    No Known Activations