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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. 2736
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    Explanations

    phrases related to misinformation or deceptive content

    oai_token-act-pair · gpt-3.5-turbo

    references to "fake news" and its implications

    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
    xual
    -0.91
    riott
    -0.75
    arching
    -0.74
    hem
    -0.72
    pai
    -0.72
    pour
    -0.71
    ranged
    -0.71
    hani
    -0.70
    onential
    -0.70
    poon
    -0.69
    POSITIVE LOGITS
    ument
    0.93
     IDs
    0.90
     news
    0.86
     positives
    0.86
     pas
    0.85
     identities
    0.78
     identity
    0.71
    outs
    0.68
    ulent
    0.67
     innocence
    0.67
    Activations Density 0.064%

    No Known Activations