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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. 1-RES-JB
    11. 2498
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    Explanations

    phrases related to removing or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts associated with the act of eliminating

    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
    ache
    -0.76
    rium
    -0.73
    atern
    -0.73
    isters
    -0.71
    ister
    -0.66
     foss
    -0.65
    Found
    -0.62
     Trance
    -0.62
    Activ
    -0.61
    gow
    -0.60
    POSITIVE LOGITS
    ministic
    0.97
     elimination
    0.94
     eliminate
    0.88
     eliminated
    0.79
    ħĭ
    0.79
    ptives
    0.77
    iencies
    0.75
    aneously
    0.73
    inators
    0.73
     duplication
    0.73
    Activations Density 0.014%

    No Known Activations