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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. 7-RES-JB
    11. 2753
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    Explanations

    specific years or specific ranges of years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly focusing on the late 1990s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hatt
    -0.74
    giving
    -0.72
    hop
    -0.71
    holders
    -0.70
    edo
    -0.69
    gettable
    -0.68
    EStreamFrame
    -0.68
    Tu
    -0.67
    holder
    -0.65
    edIn
    -0.64
    POSITIVE LOGITS
    -'
    0.73
    ĸļ
    0.73
    ãĤ¦ãĤ¹
    0.71
    ãĥŁ
    0.67
    coni
    0.65
    theless
    0.63
    iac
    0.62
    aneously
    0.62
    å¹
    0.62
    ãĥĥãĥī
    0.62
    Activations Density 0.045%

    No Known Activations