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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. 7-RES-JB
    11. 20018
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    Explanations

    phrases indicating recent actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    the word "just" frequently

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antage
    -0.75
    pora
    -0.71
     Pett
    -0.67
    antis
    -0.65
    untled
    -0.63
     PLUS
    -0.63
     Remastered
    -0.62
    aic
    -0.61
    ixel
    -0.61
    age
    -0.59
    POSITIVE LOGITS
    ifiable
    1.12
    ifications
    1.05
    if
    0.93
     gotta
    0.93
    ifi
    0.88
     kidding
    0.88
    ified
    0.87
     kinda
    0.82
     plain
    0.78
     wanna
    0.76
    Activations Density 0.088%

    No Known Activations