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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. 14155
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    Explanations

    the letter "y" in different contexts and forms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "y" in various contexts

    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
     Wonderland
    -0.77
    IUM
    -0.69
    ULAR
    -0.65
     PowerPoint
    -0.64
    ãĥ´ãĤ¡
    -0.63
     Presence
    -0.63
     Prelude
    -0.62
     Sporting
    -0.61
     Staples
    -0.60
     "$:/
    -0.59
    POSITIVE LOGITS
    ahoo
    1.23
    orkshire
    1.15
    anked
    1.15
    ield
    1.10
    ummy
    1.07
    onder
    1.03
    anking
    0.97
    von
    0.97
    olk
    0.96
    idd
    0.95
    Activations Density 0.023%

    No Known Activations