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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. 5796
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    Explanations

    words related to future time frames

    oai_token-act-pair · gpt-3.5-turbo

    references to future timeframes and events

    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
    oof
    -0.64
    assed
    -0.64
    edIn
    -0.61
    iasco
    -0.60
    Ire
    -0.60
    Param
    -0.60
    ¬¼
    -0.59
    been
    -0.59
     differed
    -0.59
    orted
    -0.59
    POSITIVE LOGITS
     will
    1.09
     hopefully
    1.05
    will
    1.04
     tomorrow
    1.01
    morrow
    0.99
     2021
    0.94
     2020
    0.94
     someday
    0.93
    shall
    0.92
    'll
    0.90
    Activations Density 0.406%

    No Known Activations