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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. 4-RES-JB
    11. 20181
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    Explanations

    mentions prompting an action, specifically "See."

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references to viewing or accessing additional content

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

    No Comments

    Negative Logits
    ascal
    -0.80
    cffffcc
    -0.80
    EStreamFrame
    -0.74
    economic
    -0.70
    prime
    -0.69
    ivari
    -0.69
    cia
    -0.66
    trap
    -0.65
     suscept
    -0.65
    purpose
    -0.63
    POSITIVE LOGITS
    urat
    0.88
    dust
    0.72
    hee
    0.70
    lights
    0.68
     Sick
    0.68
     supra
    0.68
     Lumpur
    0.67
     Also
    0.67
     whats
    0.67
    iful
    0.67
    Activations Density 0.051%

    No Known Activations