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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. 5660
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "comment" in various contexts

    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
    yton
    -0.72
    cot
    -0.70
    corn
    -0.68
    adobe
    -0.68
    ãĥ¯
    -0.66
    YP
    -0.65
    nic
    -0.65
    aez
    -0.65
    Ranked
    -0.65
    iHUD
    -0.64
    POSITIVE LOGITS
     specifics
    0.98
     newsp
    0.83
     afterward
    0.83
     publicly
    0.82
     further
    0.81
     definitively
    0.80
    ariat
    0.80
     directly
    0.79
     specifically
    0.78
     pending
    0.78
    Activations Density 0.039%

    No Known Activations