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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. 8-RES-JB
    11. 8286
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    Explanations

    descriptions of size and simplicity

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of simple, small, and lightweight objects or devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itus
    -0.89
    livion
    -0.84
    Interstitial
    -0.83
    grave
    -0.77
    ¥µ
    -0.76
    continue
    -0.75
    rosso
    -0.71
     Gifts
    -0.68
    Words
    -0.67
    tsky
    -0.67
    POSITIVE LOGITS
     cyl
    0.98
     rectangular
    0.95
     sleek
    0.89
    iameter
    0.88
     diameter
    0.84
     lightweight
    0.81
     compact
    0.79
     modular
    0.79
     sturdy
    0.78
     bulky
    0.78
    Activations Density 0.599%

    No Known Activations