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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. 24364
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    Explanations

    dates and times expressed numerically

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical representations of time

    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
    ãĤ¶
    -0.69
     scissors
    -0.67
    igham
    -0.67
    edIn
    -0.66
    keye
    -0.65
    orable
    -0.64
    udging
    -0.63
    aters
    -0.63
    py
    -0.62
    riet
    -0.61
    POSITIVE LOGITS
    th
    1.11
    roth
    0.86
    eteenth
    0.80
    rd
    0.79
    士
    0.79
    TH
    0.71
    ember
    0.69
    lev
    0.68
    2200
    0.66
    venth
    0.66
    Activations Density 0.085%

    No Known Activations