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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. 1-RES-JB
    11. 3867
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    Explanations

    dates in the format of day and month

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the year "179" in various historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.93
    orc
    -0.85
    senal
    -0.85
     millenn
    -0.80
    itent
    -0.79
    staking
    -0.78
     tremend
    -0.78
    ovie
    -0.78
     tradem
    -0.78
    enhagen
    -0.78
    POSITIVE LOGITS
    eenth
    0.90
    17
    0.88
    76
    0.87
    87
    0.86
    83
    0.86
    09
    0.85
    MH
    0.85
    03
    0.85
    89
    0.85
    66
    0.84
    Activations Density 0.032%

    No Known Activations