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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. 10294
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    Explanations

    phrases indicating time sequence or order

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sequence of events or actions over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    abus
    -0.87
    DragonMagazine
    -0.82
    itect
    -0.75
    olitical
    -0.74
    geist
    -0.73
    culated
    -0.73
    Supp
    -0.71
    ouched
    -0.69
    zsche
    -0.68
    oir
    -0.68
    POSITIVE LOGITS
     losing
    1.19
     finishing
    1.17
     beating
    1.14
     scoring
    1.14
     defeating
    1.12
     completing
    1.09
     dominating
    1.08
     injuring
    1.07
     winning
    1.07
     sustaining
    1.06
    Activations Density 0.090%

    No Known Activations