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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 19253
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    INDEX
    Explanations

    words related to distractions and efforts to divert attention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distraction and its effects

    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
    ept
    -0.64
    holm
    -0.63
     Numbers
    -0.62
    iders
    -0.61
    fred
    -0.61
    anyahu
    -0.60
    iton
    -0.60
    kov
    -0.60
     bloc
    -0.59
     conditional
    -0.59
    POSITIVE LOGITS
     attention
    0.80
    aline
    0.75
     distract
    0.75
     distracting
    0.73
     distractions
    0.72
    uyomi
    0.71
    icult
    0.70
    ingly
    0.69
    ibility
    0.66
    staff
    0.65
    Activations Density 0.058%

    No Known Activations