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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. 8-RES-JB
    11. 14818
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    Explanations

    statements expressing preferences, opinions, or requests

    oai_token-act-pair · gpt-3.5-turbo

    negations related to emotions and desires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.83
     oneself
    -0.74
     predecessor
    -0.72
    stantial
    -0.69
     Previous
    -0.69
     prospect
    -0.69
     concludes
    -0.68
    uble
    -0.66
    éŃĶ
    -0.65
    entially
    -0.64
    POSITIVE LOGITS
     gotta
    0.85
     messed
    0.85
     gonna
    0.82
     stink
    0.82
     shit
    0.81
     wanna
    0.80
    istar
    0.80
     shitty
    0.79
     fuckin
    0.78
     pissed
    0.78
    Activations Density 0.635%

    No Known Activations