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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. 13957
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    INDEX
    Explanations

    specific details or points within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    significant concepts or statements that are important for understanding various topics

    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
     srf
    -0.64
    farious
    -0.64
    --------------------------------------------------------
    -0.58
    sbm
    -0.57
    porter
    -0.55
    asters
    -0.55
    reporting
    -0.54
    racuse
    -0.54
     Mouth
    -0.53
     UCH
    -0.53
    POSITIVE LOGITS
     begs
    1.17
     coincides
    1.16
     applies
    1.14
     extends
    1.12
     ignores
    1.10
     contrasts
    1.10
     arises
    1.10
     assumes
    1.09
     represents
    1.09
     implies
    1.08
    Activations Density 0.238%

    No Known Activations