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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. 17868
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    oai_token-act-pair · gpt-3.5-turbo

    ampersands and conjunctions

    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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    No Comments

    Negative Logits
    ĸļ
    -0.95
    hower
    -0.90
    ICLE
    -0.83
    igmatic
    -0.72
    eree
    -0.71
    mitter
    -0.69
    ittee
    -0.69
    coat
    -0.69
    edia
    -0.68
    ateur
    -0.67
    POSITIVE LOGITS
     valleys
    1.14
     modes
    1.07
     attachments
    1.07
     necks
    1.05
     cycles
    1.04
     wallets
    1.02
     currencies
    1.02
     cores
    1.00
     hashes
    1.00
     souls
    1.00
    Activations Density 0.348%

    No Known Activations