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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. 11-RES-JB
    11. 1558
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    Explanations

    phrases related to a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time or progression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asive
    -0.71
    ographies
    -0.71
    icken
    -0.69
    ationally
    -0.66
    alogy
    -0.65
    impro
    -0.62
    atories
    -0.61
    taboola
    -0.60
    More
    -0.58
    entials
    -0.58
    POSITIVE LOGITS
     midnight
    1.20
     noon
    1.16
     dusk
    1.03
     Thanksgiving
    1.02
     halfway
    0.99
     Christmas
    0.98
     midday
    0.98
     sunset
    0.98
     halftime
    0.97
     Halloween
    0.96
    Activations Density 0.226%

    No Known Activations