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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. 7-RES-JB
    6. 6765
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    Explanations

    phrases related to misinformation and manipulation for political or personal gain

    oai_token-act-pair · gpt-3.5-turbo

    instances of deception or misleading information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atonin
    -0.81
    ipeg
    -0.80
    ridor
    -0.79
    ixel
    -0.78
    cade
    -0.78
    ftime
    -0.76
    utra
    -0.76
    pring
    -0.75
     Aires
    -0.75
    enhagen
    -0.73
    POSITIVE LOGITS
     misplaced
    1.09
     incompetent
    1.08
     deceit
    1.07
     misunderstood
    1.07
     inadequ
    1.05
     misrepresent
    1.03
     inept
    0.99
     illeg
    0.98
     unworthy
    0.98
     misleading
    0.98
    Activations Density 0.355%

    No Known Activations