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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. 9-RES-JB
    11. 7205
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    Explanations

    questions starting with "Do you"

    oai_token-act-pair · gpt-3.5-turbo

    questions beginning with "Do."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    workshop
    -0.77
    swick
    -0.71
    isu
    -0.68
    Gaza
    -0.66
    tnc
    -0.65
    ItemTracker
    -0.65
    DOC
    -0.64
    liner
    -0.63
     EDITION
    -0.62
     Suite
    -0.62
    POSITIVE LOGITS
    zens
    1.32
    omsday
    1.21
    gging
    1.07
    ctors
    1.07
    herty
    1.05
    ppel
    1.02
    ctr
    1.01
    lez
    0.99
    oley
    0.97
    xy
    0.93
    Activations Density 0.058%

    No Known Activations