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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. 9-RES-JB
    11. 2793
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    Explanations

    words related to suspicious or malicious activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to suspicious and malicious activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.99
    elsen
    -0.85
    united
    -0.85
    rage
    -0.81
    effective
    -0.80
    equal
    -0.79
    ynthesis
    -0.79
    winning
    -0.75
    ruary
    -0.74
    wright
    -0.74
    POSITIVE LOGITS
     behavior
    1.27
     behaviour
    1.27
     conduct
    1.26
     activity
    1.22
     behaviors
    1.09
     activities
    1.06
     behaviours
    1.05
     intent
    1.03
     substances
    0.98
     circumstances
    0.97
    Activations Density 0.172%

    No Known Activations