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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. 3-RES-JB
    11. 285
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.74
    please
    -0.73
    é¾
    -0.68
    Limited
    -0.66
     Cumm
    -0.64
    itely
    -0.63
    partial
    -0.62
    Ö¼
    -0.61
    »Ĵ
    -0.61
    lang
    -0.60
    POSITIVE LOGITS
    ivist
    0.76
     baggage
    0.66
    inki
    0.65
     shaping
    0.64
    interstitial
    0.63
    stown
    0.61
    forth
    0.60
     Winston
    0.59
     Wick
    0.58
     contender
    0.57
    Activations Density 0.110%

    No Known Activations