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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. 3-RES-JB
    11. 24183
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    INDEX
    Explanations

    linguistic constructs describing the effects or impacts of various factors

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "effect" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IDE
    -0.65
     Pitch
    -0.64
     Kats
    -0.62
     Standards
    -0.62
     Alto
    -0.62
     hips
    -0.61
    cott
    -0.60
    corn
    -0.60
     Dud
    -0.60
    Plot
    -0.60
    POSITIVE LOGITS
    iveness
    1.06
    uated
    1.05
    uel
    0.97
    ual
    0.95
    ually
    0.92
    uating
    0.92
    ively
    0.90
    uality
    0.89
    uates
    0.88
    effects
    0.87
    Activations Density 0.024%

    No Known Activations