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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. 14080
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    Explanations

    specific mentions of time gone by

    oai_token-act-pair · gpt-3.5-turbo

    references to past events or historical timelines

    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
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    No Comments

    Negative Logits
    eq
    -0.74
    aspx
    -0.71
    nce
    -0.67
     responsiveness
    -0.65
    lua
    -0.64
    eers
    -0.61
    Cra
    -0.60
    amins
    -0.59
    emo
    -0.59
     pse
    -0.58
    POSITIVE LOGITS
    opausal
    0.95
    agher
    0.77
     when
    0.74
    orescence
    0.72
    èª
    0.67
     ago
    0.64
     Updated
    0.64
    forth
    0.63
    rolet
    0.62
    tical
    0.61
    Activations Density 0.035%

    No Known Activations