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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. 2-RES-JB
    11. 14542
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    Explanations

    profane or censored words/phrases

    oai_token-act-pair · gpt-3.5-turbo

    words related to drops or droplets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Origin
    -0.74
    CV
    -0.63
    ISC
    -0.62
    ANS
    -0.62
     prevailing
    -0.61
     lodging
    -0.60
     coron
    -0.60
    CVE
    -0.60
    LCS
    -0.58
    Oracle
    -0.58
    POSITIVE LOGITS
    plet
    1.12
    ãĥ³ãĤ¸
    0.99
    ives
    0.82
    uations
    0.80
    terness
    0.77
     Rouge
    0.76
    insula
    0.75
    igue
    0.75
    tery
    0.74
    omore
    0.74
    Activations Density 0.011%

    No Known Activations