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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. 15788
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    Explanations

    phrases related to taking someone into custody

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking individuals into custody

    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
     compounded
    -0.61
     Peb
    -0.61
     WRITE
    -0.60
    BILITY
    -0.60
     Quartz
    -0.59
     Creat
    -0.58
     UX
    -0.58
     Moonlight
    -0.56
     Finish
    -0.56
     AMERICA
    -0.55
    POSITIVE LOGITS
     waivers
    0.93
    ansom
    0.82
     handcuffs
    0.81
     ropes
    0.76
     dungeons
    0.73
     stret
    0.72
    ospital
    0.72
     hostage
    0.69
     captivity
    0.69
    pox
    0.68
    Activations Density 0.194%

    No Known Activations