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    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. 10665
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    terms related to misinformation and propaganda

    oai_token-act-pair · gpt-3.5-turbo

    terms related to misinformation and propaganda

    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
    imen
    -0.75
    rared
    -0.69
    airo
    -0.67
    urat
    -0.67
    onga
    -0.67
    atta
    -0.66
    cise
    -0.65
    inence
    -0.65
    atal
    -0.65
    ropri
    -0.64
    POSITIVE LOGITS
     perpetrated
    0.94
     misinformation
    0.83
     disinformation
    0.82
     spreads
    0.82
    mong
    0.78
     propag
    0.77
     hoax
    0.77
     tactics
    0.71
    ument
    0.71
     detector
    0.71
    Activations Density 0.076%

    No Known Activations