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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. 17623
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    Explanations

    phrases related to attempts or actions done by individuals in various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    instances of attempts or efforts made by individuals

    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
     Difference
    -0.62
     Done
    -0.61
     Reserved
    -0.58
     ner
    -0.58
     respected
    -0.53
    scar
    -0.52
     Worth
    -0.52
    Wr
    -0.51
     Inquis
    -0.50
     NCT
    -0.49
    POSITIVE LOGITS
     unsuccessfully
    0.99
     to
    0.92
     vain
    0.71
     evacuate
    0.70
    ļéĨĴ
    0.70
     retrieve
    0.69
    igel
    0.67
    anke
    0.67
     CPR
    0.66
     desperately
    0.65
    Activations Density 0.123%

    No Known Activations