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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. 12-RES-JB
    11. 4068
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    Explanations

    locations where events took place, such as libraries, rooms, parks, hotels, and nightclubs

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    locations related to incidents or events, particularly in a campus or public setting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    laus
    -0.73
    IGN
    -0.71
    Ń·
    -0.68
    atell
    -0.66
    emia
    -0.64
    xit
    -0.64
    anson
    -0.61
    edIn
    -0.61
    hya
    -0.60
     GPL
    -0.60
    POSITIVE LOGITS
     bathroom
    1.36
     doorway
    1.33
     restroom
    1.33
     courtyard
    1.26
     hallway
    1.25
     door
    1.20
     lobby
    1.20
     balcony
    1.19
     driveway
    1.16
     toilets
    1.13
    Activations Density 0.211%

    No Known Activations