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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. 5601
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    Explanations

    references to specific educational institutions and dates

    oai_token-act-pair · gpt-3.5-turbo

    references to the Appalachian State, its variations, and associated years

    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
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    No Comments

    Negative Logits
    OVA
    -0.46
    udic
    -0.44
    20439
    -0.42
    arsity
    -0.41
    EngineDebug
    -0.40
    arius
    -0.40
    nil
    -0.40
     Upper
    -0.39
    Pg
    -0.39
    emonic
    -0.39
    POSITIVE LOGITS
    etheless
    0.71
     cryst
    0.53
     skelet
    0.52
     suscept
    0.52
     blat
    0.49
    NetMessage
    0.46
     advoc
    0.46
     suspic
    0.43
     traged
    0.43
    bryce
    0.43
    Activations Density 6.116%

    No Known Activations