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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. 10-RES-JB
    11. 16289
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    Explanations

    adjectives indicating something is challenging or hard to do

    oai_token-act-pair · gpt-3.5-turbo

    expressions of difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illance
    -0.67
    reet
    -0.62
    oak
    -0.61
    asa
    -0.61
    isible
    -0.59
    pend
    -0.57
    isd
    -0.57
    inders
    -0.57
    strong
    -0.56
    ATURE
    -0.56
    POSITIVE LOGITS
     terrain
    0.91
     task
    0.90
    icult
    0.86
     toget
    0.82
     tasks
    0.80
     balancing
    0.79
     juggling
    0.77
    task
    0.77
     navigating
    0.76
     feats
    0.73
    Activations Density 0.070%

    No Known Activations