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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. 3-RES-JB
    11. 17575
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    INDEX
    Explanations

    mention of news stories or coverage

    oai_token-act-pair · gpt-3.5-turbo

    references to fake news and media coverage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Berm
    -0.71
    borgh
    -0.65
     Depend
    -0.65
    ////////////////
    -0.63
    genic
    -0.62
     Tough
    -0.62
     Rear
    -0.61
    ierrez
    -0.60
     Nissan
    -0.60
     hosp
    -0.60
    POSITIVE LOGITS
    room
    0.89
    rooms
    0.81
    orters
    0.75
    essler
    0.73
    feed
    0.72
     Murdoch
    0.71
     bureau
    0.71
    ·
    0.70
     Journalists
    0.69
    acists
    0.69
    Activations Density 0.322%

    No Known Activations