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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. 9-RES-JB
    11. 11254
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    Explanations

    mentions of the word "require" in various contexts, indicating a need for something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "requirements" or "necessities" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alde
    -0.87
    arde
    -0.74
    oday
    -0.72
     peacefully
    -0.71
    emies
    -0.71
     Gleaming
    -0.71
    apor
    -0.71
    ¥µ
    -0.67
    Journal
    -0.66
    ocry
    -0.65
    POSITIVE LOGITS
     careful
    1.01
     approval
    0.96
     intervention
    0.95
     upfront
    0.94
     diligence
    0.93
     ingenuity
    0.92
     permission
    0.90
     modification
    0.90
     dexterity
    0.89
     authorization
    0.88
    Activations Density 0.233%

    No Known Activations