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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. 11-RES-JB
    11. 2137
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific blocks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Fernand
    -0.78
    eger
    -0.65
    llers
    -0.61
     Seas
    -0.61
    ILLE
    -0.60
     Grounds
    -0.60
    BUS
    -0.60
     reluct
    -0.59
     Echoes
    -0.59
     Norn
    -0.58
    POSITIVE LOGITS
    buster
    1.44
    busters
    1.42
    ades
    1.29
    quote
    1.28
    aded
    1.21
    ade
    1.20
    chains
    1.14
    chain
    1.09
    ading
    1.05
    aders
    1.02
    Activations Density 0.047%

    No Known Activations