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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10187
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    INDEX
    Explanations

    verbs related to actions of speaking, making, supporting, and bringing

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate movement or transition

    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
     Niet
    -0.70
     prest
    -0.65
    lear
    -0.65
     Seym
    -0.64
     Azerb
    -0.63
    emale
    -0.59
    inse
    -0.57
    iterranean
    -0.56
     Gaw
    -0.55
    odynam
    -0.55
    POSITIVE LOGITS
     ][
    0.72
     ]
    0.68
    actionDate
    0.65
     Vulkan
    0.60
    OTOS
    0.58
    Í
    0.57
     Provided
    0.57
     ];
    0.56
     ].
    0.56
    CLUS
    0.56
    Activations Density 0.200%

    No Known Activations