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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. 10-RES-JB
    11. 8466
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    Explanations

    phrases referring to time related to the future

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    racuse
    -0.85
    isters
    -0.66
    iam
    -0.64
     aloud
    -0.64
    efer
    -0.64
    itiz
    -0.64
    chu
    -0.63
    @#&
    -0.63
    eness
    -0.63
    EH
    -0.62
    POSITIVE LOGITS
     foreseeable
    1.92
     future
    1.76
     upcoming
    1.52
     forthcoming
    1.37
     meantime
    1.37
     coming
    1.35
     next
    1.31
    future
    1.22
     2020
    1.20
     2030
    1.17
    Activations Density 0.183%

    No Known Activations