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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. 5449
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    Explanations

    phrases related to personnel actions and statements

    oai_token-act-pair · gpt-3.5-turbo

    colons followed by statements or observations

    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
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    No Comments

    Negative Logits
    æ©
    -0.81
    rawdownloadcloneembedreportprint
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    AMI
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    âĢķ
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    avorite
    -0.68
     glim
    -0.67
     lin
    -0.65
    âĪĴ
    -0.65
     marqu
    -0.64
    âĢij
    -0.64
    POSITIVE LOGITS
     Didn
    1.27
     Doesn
    1.19
     Why
    1.18
     Wouldn
    1.18
     Would
    1.17
     Could
    1.16
     Should
    1.15
     Enough
    1.15
     Beware
    1.09
     Nobody
    1.09
    Activations Density 0.105%

    No Known Activations