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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. 10-RES-JB
    11. 4769
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    Explanations

    capitalized names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper names and significant nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     innocence
    -0.69
     STATS
    -0.65
     recount
    -0.64
     attendant
    -0.60
     Nets
    -0.59
     Ou
    -0.59
     universes
    -0.58
     Buddy
    -0.58
    Constructed
    -0.57
     colder
    -0.57
    POSITIVE LOGITS
    edo
    1.13
    oshenko
    1.07
    nel
    0.91
    anian
    0.86
    culosis
    0.83
    flix
    0.83
    hiba
    0.83
    acco
    0.82
    asury
    0.82
    anium
    0.81
    Activations Density 0.121%

    No Known Activations