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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. 3-RES-JB
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    Explanations

    mentions of internet users, often referred to as "netizens", as well as specific names and terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to citizens and their activities

    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
    emporary
    -0.89
     cumbers
    -0.79
     conflic
    -0.77
     unnecess
    -0.74
    maxwell
    -0.73
     earthqu
    -0.72
     IMAGES
    -0.70
    ired
    -0.68
    usat
    -0.68
    brance
    -0.67
    POSITIVE LOGITS
    izen
    1.20
    geist
    0.93
    ingen
    0.90
    bug
    0.90
    fish
    0.88
    zen
    0.83
    eous
    0.81
    kind
    0.79
    hao
    0.77
    berger
    0.77
    Activations Density 0.013%

    No Known Activations