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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. 11-RES-JB
    11. 14375
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    Explanations

    words or partial words related to being absent or withholding something, particularly in the context of voting or decision-making

    oai_token-act-pair · gpt-3.5-turbo

    words related to uncertainty and indecision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mongolia
    -0.65
    sequence
    -0.65
    ãĤ¹ãĥĪ
    -0.61
    PLA
    -0.61
    STER
    -0.57
     QR
    -0.57
    GPU
    -0.56
     Jiu
    -0.55
    sters
    -0.55
    SON
    -0.55
    POSITIVE LOGITS
    hat
    1.50
    ained
    1.20
    aining
    1.16
    here
    1.08
    orld
    1.07
    atters
    1.02
    art
    1.00
    eenth
    0.98
    irrel
    0.97
    AIN
    0.97
    Activations Density 0.078%

    No Known Activations