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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. 5333
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    Explanations

    keywords related to mock-ups

    oai_token-act-pair · gpt-3.5-turbo

    references to mockumentaries

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Horizon
    -0.78
     FORM
    -0.77
     kin
    -0.67
     membr
    -0.66
     safegu
    -0.64
    hips
    -0.63
     cryst
    -0.63
     Frie
    -0.62
    vez
    -0.62
    omen
    -0.62
    POSITIVE LOGITS
    ument
    1.41
    eries
    1.19
    ingly
    1.09
    ups
    1.08
    ery
    1.07
    tails
    1.03
    up
    0.90
    atory
    0.89
    pas
    0.86
     drafts
    0.84
    Activations Density 0.028%

    No Known Activations