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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. 10-RES-JB
    11. 737
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    INDEX
    Explanations

    quantitative values related to percentages and growth rates

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and percentage changes related to growth or decline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tags
    -0.92
    devices
    -0.92
    stories
    -0.91
    units
    -0.83
    tracks
    -0.80
    stones
    -0.80
     Rooms
    -0.80
     Cups
    -0.80
    odies
    -0.79
     Machines
    -0.77
    POSITIVE LOGITS
     increase
    1.30
     margin
    1.27
     decrease
    1.19
     improvement
    1.15
     ratio
    1.15
     difference
    1.13
     chance
    1.13
     uptick
    1.12
     boost
    1.12
     reduction
    1.11
    Activations Density 0.139%

    No Known Activations