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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. 496
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    Explanations

    proper nouns related to the platform "Twitter"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific social media platform

    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
    ulative
    -0.72
    vasive
    -0.72
    ãģĤ
    -0.70
    igation
    -0.69
     deported
    -0.66
    pocket
    -0.64
    TAIN
    -0.64
    leased
    -0.64
     Scientology
    -0.63
    ãĤŃ
    -0.63
    POSITIVE LOGITS
     Tw
    1.12
    orks
    0.97
    urst
    0.95
    ipes
    0.92
    eteen
    0.85
    ĸļ
    0.84
    icket
    0.83
    ĨĴ
    0.82
    elfth
    0.82
    eteenth
    0.82
    Activations Density 0.005%

    No Known Activations