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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. 10-RES-JB
    6. 651
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    INDEX
    Explanations

    phrases indicating user interaction and instructions

    oai_token-act-pair · gpt-3.5-turbo

    future-oriented phrases expressing intent or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Sandwich
    -0.68
    ONSORED
    -0.63
    states
    -0.60
     Tsukuyomi
    -0.59
    ihad
    -0.58
    ahead
    -0.58
    MO
    -0.57
    blooded
    -0.57
     Fourth
    -0.57
    farious
    -0.56
    POSITIVE LOGITS
     need
    1.18
     find
    1.15
     notice
    1.12
     encounter
    1.12
     hear
    1.09
     discover
    1.08
     receive
    1.07
     see
    1.07
     undoubtedly
    1.01
     be
    0.99
    Activations Density 0.114%

    No Known Activations