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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. 14642
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    Explanations

    time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods leading up to significant events

    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
    vill
    -0.68
    aren
    -0.68
    atic
    -0.68
    drivers
    -0.68
    ENG
    -0.67
    Offline
    -0.67
    cn
    -0.66
    are
    -0.66
    tw
    -0.66
    ktop
    -0.65
    POSITIVE LOGITS
     sunrise
    0.84
     sunset
    0.73
     expiration
    0.71
     embark
    0.70
     Christmas
    0.68
    omore
    0.68
     Election
    0.68
     noon
    0.67
     fading
    0.66
     adulthood
    0.66
    Activations Density 0.040%

    No Known Activations