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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. 1-RES-JB
    6. 19750
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    Explanations

    mentions of the publication "The Washington Post."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Washington Post

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.85
    inding
    -0.74
    ãĥ¼ãĤ¯
    -0.71
    tesy
    -0.71
    OTS
    -0.71
    ranch
    -0.70
    cles
    -0.69
    ggle
    -0.68
    estial
    -0.68
    gging
    -0.68
    POSITIVE LOGITS
    gres
    1.03
    greSQL
    1.00
    mortem
    0.90
    doctoral
    0.79
     Post
    0.76
     toile
    0.73
    hander
    0.72
     Dispatch
    0.72
    erer
    0.72
     correspond
    0.71
    Activations Density 0.011%

    No Known Activations