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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15401
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    Explanations

    proper nouns and named entities

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to organizations or actions

    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
     Hayward
    -0.63
     Sinclair
    -0.61
     Wink
    -0.61
    bard
    -0.60
    ffen
    -0.60
     Jarrett
    -0.59
    phrine
    -0.59
    gy
    -0.59
     Hicks
    -0.58
     ju
    -0.58
    POSITIVE LOGITS
    ANS
    1.52
    ION
    1.09
    IAN
    1.05
    WER
    1.03
    UAL
    0.96
    IRD
    0.92
    ANE
    0.91
    ICAN
    0.91
    ANA
    0.90
    IONS
    0.88
    Activations Density 0.003%

    No Known Activations