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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. 22009
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    INDEX
    Explanations

    references to actions of holding law enforcement accountable

    oai_token-act-pair · gpt-3.5-turbo

    articles and phrases about new purchases or registrations

    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
    echo
    -0.70
    almost
    -0.69
    scenes
    -0.68
    Links
    -0.67
     irony
    -0.67
    Art
    -0.66
     outlines
    -0.65
    aci
    -0.64
    Types
    -0.64
     uproar
    -0.64
    POSITIVE LOGITS
     particular
    0.94
     spouse
    0.88
     lot
    0.88
     bunch
    0.82
     valid
    0.82
     specific
    0.82
     suitable
    0.80
     subscription
    0.79
     single
    0.78
     foothold
    0.78
    Activations Density 0.417%

    No Known Activations