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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. 565
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    Explanations

    references to safety measures and risks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectation and anticipation

    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
    )"
    -0.80
    )",
    -0.80
    20439
    -0.78
    )\
    -0.77
     âĢ
    -0.76
    \",
    -0.75
    ","
    -0.72
     guiIcon
    -0.71
     à¨
    -0.70
    }"
    -0.69
    POSITIVE LOGITS
     ;)
    1.21
     someday
    1.20
     lately
    1.18
     tomorrow
    1.08
     tonight
    1.08
     :(
    1.01
     :-)
    1.01
     ASAP
    0.95
     :)
    0.94
    !
    0.93
    Activations Density 0.939%

    No Known Activations