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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. 932
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    Explanations

    phrases related to technological updates and changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technological requirements and updates

    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
    Plot
    -0.76
    hedon
    -0.68
    usterity
    -0.66
    Ca
    -0.66
    overty
    -0.65
    forts
    -0.63
    ileaks
    -0.62
    Wood
    -0.61
    gyn
    -0.61
     diversion
    -0.60
    POSITIVE LOGITS
    every
    0.94
     ALL
    0.90
     every
    0.85
     EVERY
    0.83
     workplaces
    0.81
     iPhones
    0.80
     iOS
    0.80
     all
    0.79
     iPhone
    0.77
     mainline
    0.77
    Activations Density 0.967%

    No Known Activations