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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. 11-RES-JB
    11. 23797
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    Explanations

    phrases related to physical harm or injury to individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to crime and injury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nets
    -0.92
    acies
    -0.91
    ernels
    -0.89
    bows
    -0.82
     billboards
    -0.81
     Boards
    -0.80
     franchises
    -0.79
    hops
    -0.79
     portals
    -0.79
    skirts
    -0.78
    POSITIVE LOGITS
     person
    1.96
     participant
    1.64
     occupant
    1.52
     recipient
    1.49
     member
    1.49
     detainee
    1.49
     woman
    1.43
     victim
    1.42
     claimant
    1.41
     prisoner
    1.41
    Activations Density 0.467%

    No Known Activations