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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. 1487
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    Explanations

    years or time-related information and occurrences

    oai_token-act-pair · gpt-3.5-turbo

    specific milestones and numerical data in historical contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     tonight
    -0.95
     tomorrow
    -0.84
     Thursday
    -0.80
     today
    -0.79
     yesterday
    -0.77
     Wednesday
    -0.76
     Monday
    -0.75
    nesday
    -0.74
    uesday
    -0.73
     Tuesday
    -0.73
    POSITIVE LOGITS
    Reviewer
    0.85
    oglobin
    0.66
    METHOD
    0.59
    emed
    0.58
    estones
    0.56
     elig
    0.54
     regretted
    0.54
    VIDIA
    0.53
    itudinal
    0.53
    scill
    0.52
    Activations Density 1.328%

    No Known Activations