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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. 1724
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    Explanations

    tweets from various individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tweeted"

    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
    ãĥ´
    -0.66
    vantage
    -0.65
    escal
    -0.65
    vernment
    -0.65
    ajor
    -0.62
    cised
    -0.61
    asse
    -0.60
    sbm
    -0.60
    circ
    -0.60
    士
    -0.60
    POSITIVE LOGITS
     "@
    0.99
     congratulations
    0.90
     condolences
    0.88
     "#
    0.87
     furiously
    0.78
     angrily
    0.78
     encour
    0.76
    weet
    0.75
     pics
    0.74
    realDonaldTrump
    0.74
    Activations Density 0.043%

    No Known Activations