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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. 3880
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    Explanations

    references to the future

    oai_token-act-pair · gpt-3.5-turbo

    references to "the future"

    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
    lee
    -0.83
    Fat
    -0.78
    ety
    -0.77
    azines
    -0.77
    edin
    -0.74
    ECA
    -0.72
    ghan
    -0.72
    toe
    -0.71
    tha
    -0.71
    idelines
    -0.71
    POSITIVE LOGITS
     generations
    1.09
     occupant
    0.96
     prospects
    0.89
     horizon
    0.87
     outlook
    0.86
     occupants
    0.82
     tense
    0.82
     trajectory
    0.81
     generation
    0.80
     installments
    0.80
    Activations Density 0.046%

    No Known Activations