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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. 1-RES-JB
    6. 19293
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    Explanations

    phrases related to removing or eliminating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a desire to eliminate or remove something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BE
    -0.70
    anwhile
    -0.70
     Fallon
    -0.68
     Immortal
    -0.67
    OPER
    -0.64
     cited
    -0.64
     Macro
    -0.62
    DT
    -0.61
    ULT
    -0.61
     Glob
    -0.59
    POSITIVE LOGITS
    itaire
    0.99
     rid
    0.90
    ª
    0.89
    ients
    0.88
    anium
    0.88
    brush
    0.84
    atives
    0.80
    ges
    0.79
    icide
    0.78
    orget
    0.77
    Activations Density 0.007%

    No Known Activations