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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3520
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    Explanations

    references to the website 'IMDb'

    oai_token-act-pair · gpt-3.5-turbo

    references to the Internet Movie Database (IMDb) and its related content

    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
    quez
    -0.68
    velt
    -0.68
    rooms
    -0.66
     autonom
    -0.64
     ItemLevel
    -0.62
    isson
    -0.62
    nown
    -0.62
    ieve
    -0.62
    intendo
    -0.61
    bard
    -0.61
    POSITIVE LOGITS
    HO
    1.20
    PLIC
    1.16
    MED
    1.09
    Db
    1.07
    PLE
    1.07
    PROV
    1.07
    AX
    1.00
    achine
    1.00
    ORY
    0.99
    AGE
    0.98
    Activations Density 0.026%

    No Known Activations