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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. 13890
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    Explanations

    words or phrases related to judgment or evaluation, particularly expressing doubt or scrutiny

    oai_token-act-pair · gpt-3.5-turbo

    expressions of uncertainty or doubt

    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
    Ĥİ
    -0.75
    ©¶æ
    -0.65
     summ
    -0.63
     defaults
    -0.63
    pez
    -0.62
    OTO
    -0.62
    ":"","
    -0.61
    £ı
    -0.60
     alternatively
    -0.59
    ģĸ
    -0.57
    POSITIVE LOGITS
     anymore
    1.11
     much
    1.04
     bothered
    1.01
     bothering
    1.00
     bother
    1.00
    much
    0.97
     terribly
    0.96
     anything
    0.95
    existent
    0.92
     noticeable
    0.87
    Activations Density 0.601%

    No Known Activations