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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. 7-RES-JB
    11. 11764
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    Explanations

    specific examples that fit a given pattern or definition

    oai_token-act-pair · gpt-3.5-turbo

    phrases that affirm the concept of "exactly" or precision in descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rift
    -0.80
    ker
    -0.72
    itiz
    -0.69
    jay
    -0.66
    oscopic
    -0.65
    asta
    -0.65
    olyn
    -0.65
    olesc
    -0.64
    cffff
    -0.63
    rug
    -0.62
    POSITIVE LOGITS
     opposite
    0.81
    ãĤ¨
    0.79
     tuned
    0.64
    æ©Ł
    0.64
     aligned
    0.63
    inct
    0.62
    arist
    0.62
     suited
    0.62
    uner
    0.61
    Els
    0.61
    Activations Density 0.018%

    No Known Activations