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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. 18082
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    Explanations

    phrases related to the flow of fluids

    oai_token-act-pair · gpt-3.5-turbo

    references to the movement and characteristics of water

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.93
    thood
    -0.77
    FN
    -0.75
     Submission
    -0.71
    oyal
    -0.71
     suprem
    -0.69
    ortment
    -0.68
    plom
    -0.68
     Expression
    -0.68
    ONY
    -0.67
    POSITIVE LOGITS
     humidity
    0.98
     electroly
    0.96
     heater
    0.94
    absor
    0.89
     gases
    0.87
     intermitt
    0.87
     oxygen
    0.86
     lubric
    0.86
     nutrients
    0.85
     pipes
    0.83
    Activations Density 0.595%

    No Known Activations