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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. 11417
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    INDEX
    Explanations

    phrases prompting or urging action

    oai_token-act-pair · gpt-3.5-turbo

    questions and prompts that invite action or engagement

    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
     occupation
    -0.81
     angered
    -0.80
     anomal
    -0.79
     perce
    -0.77
     sustained
    -0.76
     alleged
    -0.74
     hospitalized
    -0.74
     disturbed
    -0.74
     perceived
    -0.74
     inco
    -0.73
    POSITIVE LOGITS
     ;)
    1.42
     ðŁĻĤ
    1.34
     :)
    1.30
     Simply
    1.22
     :-)
    1.14
     Enjoy
    1.13
     ðŁĺ
    1.12
     You
    1.11
     Besides
    1.09
     Anyway
    1.08
    Activations Density 0.631%

    No Known Activations