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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. 7-RES-JB
    11. 2640
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    Explanations

    phrases containing the word "Kn" followed by another word or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Kn" followed by various terms, indicating a focus on the concept of "knowing" or "knowledge."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DEM
    -0.75
    ahime
    -0.74
    pour
    -0.73
     quo
    -0.69
    REDACTED
    -0.68
    geist
    -0.68
    quickShipAvailable
    -0.65
    dit
    -0.65
    grounds
    -0.64
    ional
    -0.64
    POSITIVE LOGITS
    uckle
    1.19
    uckles
    1.06
    ocking
    1.02
    itting
    1.00
    icker
    0.98
    ows
    0.97
    reditary
    0.95
    ighth
    0.95
    ivable
    0.94
    itted
    0.93
    Activations Density 0.024%

    No Known Activations