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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. 9-RES-JB
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    Explanations

    references to specific names, particularly "Dennis" and "Nicolas"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those with the name "Dennis" and related names

    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
    ebook
    -0.94
    itage
    -0.88
    ts
    -0.85
    bing
    -0.84
    igi
    -0.82
    icago
    -0.81
    bable
    -0.79
    iliation
    -0.79
    ritis
    -0.78
    rahim
    -0.78
    POSITIVE LOGITS
    sein
    0.87
    hift
    0.81
     Hof
    0.78
     Eps
    0.76
     Berg
    0.76
    ource
    0.75
    ocial
    0.75
     Maduro
    0.74
    ophical
    0.74
    opher
    0.72
    Activations Density 0.088%

    No Known Activations