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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "tend" followed by various verbs or adjectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tendencies or inclinations of people or things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.78
    arta
    -0.71
    ÄŁ
    -0.71
    lain
    -0.67
    Monitor
    -0.66
     Sport
    -0.66
     Step
    -0.63
    zbek
    -0.63
     Underground
    -0.63
     Kl
    -0.61
    POSITIVE LOGITS
    rils
    1.23
    ril
    0.94
    entious
    0.94
    entimes
    0.94
    pmwiki
    0.81
    uce
    0.78
    erest
    0.76
    ensical
    0.75
    rences
    0.74
     incent
    0.74
    Activations Density 0.013%

    No Known Activations