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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. 17056
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    Explanations

    phrases related to feelings of discomfort or surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    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
    Financial
    -0.68
    Applications
    -0.68
     automobile
    -0.67
     à¨
    -0.65
    verning
    -0.64
    ourses
    -0.61
    Therefore
    -0.60
     guidance
    -0.60
    Economic
    -0.59
     policymakers
    -0.59
    POSITIVE LOGITS
    eeee
    1.03
     gotta
    0.96
    oooooooo
    0.91
    oooooooooooooooo
    0.87
     fucking
    0.87
     kinda
    0.86
     kidding
    0.85
     fuckin
    0.83
    oooo
    0.83
    ?!
    0.83
    Activations Density 1.010%

    No Known Activations