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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
    11. 16456
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    Explanations

    terms related to security vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    references to security vulnerabilities and risks

    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
    è¦ļéĨĴ
    -0.87
    ãĥ£
    -0.84
     Silk
    -0.65
    ãģ¦
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
     Turk
    -0.61
    balls
    -0.61
     caution
    -0.60
     Spice
    -0.60
     TAMADRA
    -0.60
    POSITIVE LOGITS
    rets
    1.24
    enaries
    1.08
    urities
    1.07
    utions
    1.05
    recy
    1.05
    ularity
    1.04
    sec
    1.04
    ular
    1.00
    ambers
    0.95
    isters
    0.94
    Activations Density 0.009%

    No Known Activations