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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. 5-RES-JB
    6. 7668
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    Explanations

    phrases involving expressing strong emotions or judgments towards others

    oai_token-act-pair · gpt-3.5-turbo

    second-person pronouns emphasizing direct address or accusations toward the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icy
    -0.70
    ice
    -0.67
    ¿½
    -0.66
    ftime
    -0.65
    assembly
    -0.64
     airs
    -0.64
     FEC
    -0.60
    UTC
    -0.60
    acular
    -0.59
     Above
    -0.58
    POSITIVE LOGITS
    're
    1.57
    've
    1.34
    'll
    1.31
    'd
    1.16
    tub
    1.13
     guys
    1.08
     know
    0.92
     owe
    0.91
     guessed
    0.89
    RS
    0.89
    Activations Density 0.240%

    No Known Activations