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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. 3-RES-JB
    11. 18564
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    Explanations

    specific years from the mid-20th century

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly around the mid-20th century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tro
    -0.83
    hed
    -0.79
    resso
    -0.76
    ithe
    -0.74
    hes
    -0.71
    edo
    -0.66
    econom
    -0.66
    onet
    -0.64
    andering
    -0.64
    iant
    -0.64
    POSITIVE LOGITS
    å¹
    0.85
     1946
    0.79
     Reincarn
    0.73
    é¾įå¥ij士
    0.69
     1949
    0.69
    çļ
    0.69
     1947
    0.68
    rpm
    0.67
     1953
    0.66
     1958
    0.65
    Activations Density 0.021%

    No Known Activations