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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. 2-RES-JB
    11. 14840
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    Explanations

    numeric values related to quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.83
    ieu
    -0.83
    enders
    -0.77
    woods
    -0.74
    olog
    -0.70
    ny
    -0.67
    oli
    -0.67
    ters
    -0.65
    ned
    -0.64
    iled
    -0.64
    POSITIVE LOGITS
    Ĥİ
    0.88
     (~
    0.87
     ~
    0.76
     approximate
    0.73
     Approximately
    0.72
    approximately
    0.71
    atility
    0.71
     eighty
    0.71
    roximately
    0.70
     eleph
    0.69
    Activations Density 0.012%

    No Known Activations