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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. 8328
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    INDEX
    Explanations

    numbers in a hyphenated format

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical statistics or percentages

    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
     AVG
    -0.69
     Cassidy
    -0.68
    ãĥ£
    -0.64
     Collider
    -0.64
     Brav
    -0.63
     turbulence
    -0.62
    izu
    -0.62
     Fiesta
    -0.62
     Defenders
    -0.62
     Situation
    -0.61
    POSITIVE LOGITS
    five
    1.33
    six
    1.32
    seven
    1.32
    eight
    1.31
    nine
    1.26
    four
    1.24
    two
    1.14
    three
    1.13
    year
    1.10
    undreds
    1.10
    Activations Density 0.051%

    No Known Activations