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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7728
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    INDEX
    Explanations

    references to physical locations, particularly rooms, and related actions or attributes associated with those rooms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific room numbers

    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
    HER
    -0.70
     Iss
    -0.69
    elson
    -0.67
    pend
    -0.66
    merce
    -0.65
     Uz
    -0.65
    ernels
    -0.58
    gpu
    -0.57
    BAT
    -0.57
     distribut
    -0.56
    POSITIVE LOGITS
    room
    1.02
     doors
    0.92
     upstairs
    0.91
    rooms
    0.90
     occupancy
    0.89
     divid
    0.89
    itory
    0.86
    lain
    0.84
     rooms
    0.84
    clock
    0.83
    Activations Density 0.060%

    No Known Activations