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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. 5-RES-JB
    6. 8016
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    Explanations

    mathematical, temporal, or consequential ultimatums

    oai_token-act-pair · gpt-3.5-turbo

    references to ultimate or ultimatum concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Footnote
    -0.79
    ãģĦ
    -0.77
    keeping
    -0.73
    Guest
    -0.71
     Sins
    -0.68
    stocks
    -0.67
    Accessory
    -0.65
    ************
    -0.65
    SPONSORED
    -0.64
    xual
    -0.64
    POSITIVE LOGITS
    imates
    1.39
    raviolet
    1.12
    rav
    0.98
    ral
    0.96
    reme
    0.95
    imus
    0.95
    ritional
    0.94
    ima
    0.91
    imum
    0.91
    iple
    0.91
    Activations Density 0.019%

    No Known Activations