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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. 10001
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    Explanations

    text related to business operations and transactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to geographical locations and spatial arrangements

    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
    obin
    -0.59
    eno
    -0.57
    jiang
    -0.57
    tsky
    -0.55
    actic
    -0.54
    redo
    -0.53
    è¦ļéĨĴ
    -0.53
    aughs
    -0.52
    stro
    -0.52
    terness
    -0.52
    POSITIVE LOGITS
     Cemetery
    0.62
    tyard
    0.61
     Doors
    0.61
    Located
    0.60
     perimeter
    0.60
     Built
    0.57
     srfAttach
    0.55
     erected
    0.55
     operated
    0.55
     Rooms
    0.54
    Activations Density 1.464%

    No Known Activations