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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6584
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    Explanations

    texts related to malicious activities or intentions

    oai_token-act-pair · gpt-3.5-turbo

    examples of malicious behavior or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.40
    akeru
    -0.84
    arist
    -0.84
    orus
    -0.82
    marks
    -0.80
    uesday
    -0.79
    gdala
    -0.78
    ills
    -0.76
    Vert
    -0.76
    ļéĨĴ
    -0.76
    POSITIVE LOGITS
    ly
    1.16
     intent
    0.98
     implant
    0.83
     payload
    0.83
     mischief
    0.79
     behaviour
    0.79
    vertising
    0.76
     actors
    0.75
     behavior
    0.74
     malicious
    0.73
    Activations Density 0.017%

    No Known Activations