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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. 8-RES-JB
    11. 5096
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    INDEX
    Explanations

    specific room numbers and locations within buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and structural details within buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocide
    -0.86
    bows
    -0.80
    icter
    -0.72
     distances
    -0.72
     flakes
    -0.71
    ajo
    -0.71
    vae
    -0.70
    peat
    -0.70
    ibia
    -0.69
     tsun
    -0.69
    POSITIVE LOGITS
     Room
    1.01
    office
    0.96
    rium
    0.95
     offices
    0.95
     courthouse
    0.95
     Palace
    0.94
     desks
    0.93
     office
    0.91
     downtown
    0.90
     apartment
    0.89
    Activations Density 0.456%

    No Known Activations