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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. 5-RES-JB
    6. 7839
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    INDEX
    Explanations

    phrases referring to specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    indicative phrases suggesting actions or decisions by groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .","
    -0.55
    zag
    -0.52
    ige
    -0.51
    =-=-=-=-=-=-=-=-
    -0.49
     UCHIJ
    -0.49
    apan
    -0.49
    aer
    -0.48
    ixir
    -0.48
    iership
    -0.48
    cients
    -0.47
    POSITIVE LOGITS
     latter
    0.64
     irony
    0.63
    atto
    0.60
     scathing
    0.55
     damning
    0.54
     NOTICE
    0.53
    arently
    0.52
     excerpts
    0.52
     furthermore
    0.51
     ironic
    0.51
    Activations Density 1.661%

    No Known Activations