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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. 20611
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    Explanations

    approximate numerical values

    oai_token-act-pair · gpt-3.5-turbo

    the word "roughly" indicating approximations or estimates

    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
    TB
    -0.73
    ieu
    -0.71
    Reviewer
    -0.71
    ters
    -0.70
    YES
    -0.70
    iments
    -0.70
    oa
    -0.68
    oli
    -0.67
     Shame
    -0.65
    idy
    -0.65
    POSITIVE LOGITS
     analogous
    0.88
    Ĥİ
    0.81
     approximate
    0.80
    Ń·
    0.79
     speaking
    0.77
     equivalent
    0.76
     820
    0.76
     sized
    0.73
    ãĤ©
    0.71
     contempor
    0.71
    Activations Density 0.020%

    No Known Activations