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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. 1-RES-JB
    11. 13421
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    Explanations

    numerical data comparisons presented with the word "respectively"

    oai_token-act-pair · gpt-3.5-turbo

    the word "respectively" and its variations, indicating comparisons or correlations between multiple items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rak
    -0.74
    lic
    -0.68
    rog
    -0.67
    lo
    -0.62
    lig
    -0.62
    Nor
    -0.61
    bor
    -0.60
    bl
    -0.59
    light
    -0.59
     Laz
    -0.58
    POSITIVE LOGITS
    ãĤ¼ãĤ¦ãĤ¹
    0.86
    auga
    0.81
    çĶ°
    0.81
     eleph
    0.80
     guiActiveUn
    0.79
     nomine
    0.79
     teasp
    0.77
    sembly
    0.76
    atility
    0.75
    efficients
    0.74
    Activations Density 0.005%

    No Known Activations