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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. 9-RES-JB
    11. 22986
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    INDEX
    Explanations

    quantitative rankings such as first, second, third, etc

    oai_token-act-pair · gpt-3.5-turbo

    ordinal numbers indicating rank or position

    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
    rooms
    -0.74
    POST
    -0.69
    ãĤ¤ãĥĪ
    -0.67
    cgi
    -0.66
    hran
    -0.65
    details
    -0.65
    blers
    -0.65
    bda
    -0.64
    cffff
    -0.63
    oras
    -0.62
    POSITIVE LOGITS
     highest
    1.15
     largest
    1.12
     longest
    1.09
     oldest
    1.05
     fastest
    1.03
     busiest
    1.01
     cheapest
    1.00
    highest
    0.99
     richest
    0.99
     tallest
    0.98
    Activations Density 0.079%

    No Known Activations