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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. 23418
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    Explanations

    dates in the format of day-month-year

    oai_token-act-pair · gpt-3.5-turbo

    instances of the number sixteen in various 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
    olicy
    -0.80
    onse
    -0.67
    acle
    -0.67
    atre
    -0.66
     tremend
    -0.65
    rison
    -0.65
    pmwiki
    -0.65
    etsk
    -0.64
     compr
    -0.63
    pherd
    -0.62
    POSITIVE LOGITS
    384
    1.31
    6666
    1.26
    05
    1.00
    09
    0.98
    07
    0.97
    03
    0.96
    02
    0.93
    06
    0.93
    08
    0.92
    th
    0.91
    Activations Density 0.044%

    No Known Activations