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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. 6024
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    Explanations

    phrases related to the transmission of information or beliefs through informal communication

    oai_token-act-pair · gpt-3.5-turbo

    references to "word of mouth" and religious texts

    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
    rera
    -0.68
    iem
    -0.68
    cycles
    -0.68
    âĶģ
    -0.66
    asio
    -0.65
     Cruiser
    -0.63
     Merge
    -0.63
    istar
    -0.62
    ilial
    -0.62
    ãĤ¤ãĥĪ
    -0.62
    POSITIVE LOGITS
     mouth
    0.89
     encouragement
    0.78
     poem
    0.77
     phrases
    0.76
     wisdom
    0.74
     spoken
    0.74
     mouths
    0.74
    mouth
    0.72
     prophecy
    0.72
     lyrics
    0.69
    Activations Density 0.182%

    No Known Activations