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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. 1760
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    keywords related to mobile applications (apps)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mobile applications

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Berm
    -0.67
     Deity
    -0.67
     corridors
    -0.62
     cigars
    -0.61
     tract
    -0.60
    aina
    -0.60
    bilt
    -0.60
     Maul
    -0.59
    terday
    -0.58
     Deter
    -0.57
    POSITIVE LOGITS
    alach
    1.04
    ortion
    1.00
    legate
    0.96
    reciation
    0.94
    store
    0.93
     launcher
    0.90
    Compat
    0.88
     drawer
    0.87
    osite
    0.87
    Store
    0.86
    Activations Density 0.045%

    No Known Activations