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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. 7-RES-JB
    11. 14236
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    INDEX
    Explanations

    phrases indicating positive aspects or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate positive sentiments about various topics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    STATE
    -0.75
     throats
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    ONEY
    -0.67
    IGHTS
    -0.65
    PATH
    -0.63
    COL
    -0.63
    TIT
    -0.63
     footsteps
    -0.63
    alties
    -0.63
    POSITIVE LOGITS
    avorite
    0.82
     this
    0.76
     Kinnikuman
    0.71
     these
    0.69
     deploying
    0.66
     Combine
    0.64
     modern
    0.64
     hindsight
    0.62
    adding
    0.62
     owning
    0.62
    Activations Density 0.113%

    No Known Activations