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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. 6-RES-JB
    11. 7262
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    Explanations

    references to time periods, specifically different points within a year

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ntil
    -0.74
    ogle
    -0.72
    omething
    -0.70
    emort
    -0.69
    PsyNetMessage
    -0.68
    ierrez
    -0.67
     Flavoring
    -0.66
    ategory
    -0.65
    elvet
    -0.64
    gling
    -0.64
    POSITIVE LOGITS
     ahead
    0.79
     finale
    0.71
    iverse
    0.70
     festivities
    0.70
    night
    0.70
    worms
    0.70
    long
    0.69
    ı
    0.69
    finals
    0.66
    dule
    0.66
    Activations Density 0.068%

    No Known Activations