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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. 5-RES-JB
    6. 24167
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    Explanations

    references to physical walls

    oai_token-act-pair · gpt-3.5-turbo

    references to physical walls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gene
    -0.79
    amate
    -0.68
    CENT
    -0.67
    ptive
    -0.67
    lihood
    -0.66
    forward
    -0.66
    milo
    -0.65
    munition
    -0.64
    phrine
    -0.62
    ×ķ
    -0.62
    POSITIVE LOGITS
    papers
    1.17
    abies
    1.14
    aby
    1.08
     wall
    0.92
    clock
    0.89
     walls
    0.89
    top
    0.85
     wart
    0.84
    tops
    0.82
     thickness
    0.82
    Activations Density 0.012%

    No Known Activations