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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. 1-RES-JB
    11. 8809
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals or scholars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Libre
    -0.69
    arella
    -0.69
     Caps
    -0.67
    tips
    -0.67
    rill
    -0.66
    immer
    -0.65
    tip
    -0.65
    mail
    -0.65
    pop
    -0.64
    OTT
    -0.63
    POSITIVE LOGITS
     eminent
    1.05
    minent
    0.90
     dismant
    0.85
    inence
    0.75
    kees
    0.72
    icter
    0.71
    urbed
    0.71
     interven
    0.70
    untled
    0.68
     trusts
    0.68
    Activations Density 0.011%

    No Known Activations