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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. 2-RES-JB
    11. 7453
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    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "effect."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Plot
    -0.71
    cit
    -0.65
     hips
    -0.65
    IDE
    -0.64
     Alto
    -0.62
     ISI
    -0.60
    corn
    -0.59
    cott
    -0.59
    minimum
    -0.59
     Kats
    -0.59
    POSITIVE LOGITS
    iveness
    1.21
    uated
    1.06
    ively
    1.01
    uating
    0.98
    ually
    0.98
    uality
    0.98
    uel
    0.97
    uates
    0.92
    uate
    0.90
     effect
    0.90
    Activations Density 0.022%

    No Known Activations