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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. 19022
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    Explanations

    methods or techniques related to a specific action or process

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to methods, operations, and means of various actions or processes

    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
    busters
    -0.76
    bats
    -0.75
    nis
    -0.75
     Qiao
    -0.73
     Indigo
    -0.72
     Freak
    -0.70
    rants
    -0.69
    stones
    -0.69
     Bigfoot
    -0.68
    marks
    -0.68
    POSITIVE LOGITS
     obtaining
    1.02
     transportation
    1.00
     accessing
    0.98
     circumvent
    0.96
     communication
    0.94
     ignition
    0.94
     communicate
    0.92
     navigating
    0.91
     propulsion
    0.90
     coping
    0.89
    Activations Density 0.127%

    No Known Activations