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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. 4-RES-JB
    11. 13207
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    Explanations

    numerical values within sentences

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or identifiers associated with various data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    kar
    -0.76
    wart
    -0.75
    sterdam
    -0.74
    apolis
    -0.74
    scape
    -0.74
    ago
    -0.73
    sworth
    -0.73
    fare
    -0.72
    piece
    -0.72
    orical
    -0.71
    POSITIVE LOGITS
    PDATE
    0.79
    interstitial
    0.72
    çĶŁ
    0.72
    geoning
    0.69
     certs
    0.69
    ãĤ´ãĥ³
    0.69
    288
    0.68
     sqor
    0.67
     tremend
    0.66
    MENTS
    0.66
    Activations Density 0.043%

    No Known Activations