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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. 12845
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    Explanations

    phrases related to technological instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to communication and social interaction

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    fitted
    -0.63
    rafted
    -0.62
    ameda
    -0.61
    ochem
    -0.61
    itime
    -0.60
    arde
    -0.59
    outheast
    -0.57
     prelim
    -0.57
    ¡
    -0.55
    ipher
    -0.55
    POSITIVE LOGITS
    ?,
    1.14
    ?:
    1.08
     doesnt
    1.07
     Nope
    1.04
     ?
    1.01
     âĢº
    0.96
    âĢ
    0.95
     âĸº
    0.94
    ?
    0.94
     âľ
    0.93
    Activations Density 0.662%

    No Known Activations