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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. 18779
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    Explanations

    phrases related to being called or summoned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called" in various contexts

    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
    feat
    -0.69
    icipated
    -0.62
    edia
    -0.60
    olitics
    -0.60
    ECK
    -0.59
    cest
    -0.58
    BE
    -0.57
    olar
    -0.57
    oday
    -0.56
    tein
    -0.56
    POSITIVE LOGITS
     upon
    1.23
     forth
    1.03
     into
    0.97
     onto
    0.80
     awa
    0.79
     Attention
    0.75
    oused
    0.73
    upon
    0.73
     aloud
    0.72
     attention
    0.72
    Activations Density 0.045%

    No Known Activations