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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21566
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    Explanations

    references to evaluating or holding law enforcement accountable for their actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to political events and figures

    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
    )"
    -0.87
    )",
    -0.79
    )\
    -0.67
    \)
    -0.65
     etc
    -0.65
     beneficial
    -0.60
    )[
    -0.60
     english
    -0.60
     cooper
    -0.59
    oday
    -0.58
    POSITIVE LOGITS
    etheless
    0.80
     downright
    0.80
     inexpl
    0.72
     utterly
    0.71
     unmist
    0.69
     reckoning
    0.67
     lurking
    0.67
     unaccount
    0.67
     goddamn
    0.65
     shockingly
    0.65
    Activations Density 1.491%

    No Known Activations