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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. 0-RES-JB
    11. 9531
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    Explanations

    references to specific physical locations, particularly rooms and suites

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific rooms or suites in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bounty
    -0.74
    heid
    -0.74
    teness
    -0.69
     vend
    -0.66
     backward
    -0.65
     athe
    -0.64
     constitu
    -0.64
     selfish
    -0.63
     spear
    -0.63
     pont
    -0.60
    POSITIVE LOGITS
     Room
    4.00
    Room
    2.69
     Rooms
    2.68
     room
    2.03
     rooms
    1.83
    room
    1.83
     Suite
    1.36
    rooms
    1.32
     Floor
    1.30
     Lounge
    1.23
    Activations Density 0.009%

    No Known Activations