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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. 10-RES-JB
    11. 6200
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    INDEX
    Explanations

    repeated patterns of a specific word or term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to a location or a person's name ending in "ern" followed by a number

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gamble
    -0.75
    netflix
    -0.68
     FTA
    -0.67
     trickle
    -0.65
     bluff
    -0.64
     inhibitors
    -0.61
     Bowen
    -0.60
     rejection
    -0.58
     subsid
    -0.57
     retreating
    -0.56
    POSITIVE LOGITS
    acle
    1.30
    acles
    1.21
    auts
    1.17
    atural
    1.12
    icht
    1.09
    icus
    1.05
    esis
    1.02
    acular
    1.02
    esse
    1.00
    icter
    0.98
    Activations Density 0.031%

    No Known Activations