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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. 4-RES-JB
    11. 19886
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    zers
    -0.70
    oxide
    -0.70
    andel
    -0.68
     gobl
    -0.64
     blinking
    -0.63
    pta
    -0.62
     resil
    -0.61
     reckoning
    -0.61
     shade
    -0.60
     strain
    -0.59
    POSITIVE LOGITS
    folios
    1.35
    rait
    1.29
    raits
    1.20
    folio
    1.20
    ugal
    0.93
    nell
    0.84
    ocity
    0.84
    eur
    0.81
    ioned
    0.77
    riot
    0.76
    Activations Density 0.012%

    No Known Activations