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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. 8-RES-JB
    11. 24463
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    Explanations

    action verbs related to decision-making, investigation, and effort

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.79
     guiActiveUnfocused
    -0.66
    uras
    -0.64
     guiActiveUn
    -0.61
    urus
    -0.60
    ascus
    -0.60
    osure
    -0.60
    acteria
    -0.60
    taboola
    -0.60
    emonic
    -0.60
    POSITIVE LOGITS
     thee
    0.78
     tomorrow
    0.78
    fully
    0.75
     whatever
    0.72
     whoever
    0.70
    igate
    0.70
     whichever
    0.68
     hereafter
    0.66
    enance
    0.66
     someday
    0.64
    Activations Density 0.441%

    No Known Activations