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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. 12787
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    Explanations

    references to different forms or types of something

    oai_token-act-pair · gpt-3.5-turbo

    references to various types or formats of things

    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
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    No Comments

    Negative Logits
    avorite
    -0.67
    incial
    -0.65
     Secrets
    -0.61
    iolet
    -0.61
     Bounce
    -0.60
    姫
    -0.60
    ojure
    -0.60
    yright
    -0.58
     Hots
    -0.58
    incinn
    -0.57
    POSITIVE LOGITS
    aldehyde
    1.34
    ulating
    0.99
    fitting
    0.97
    ative
    0.89
    ulator
    0.79
    ulates
    0.77
    atter
    0.77
    idable
    0.76
    ulated
    0.75
    ula
    0.74
    Activations Density 0.016%

    No Known Activations