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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. 4-RES-JB
    6. 21258
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    INDEX
    Explanations

    interjections and casual affirmations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of agreement or acknowledgment

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

    No Comments

    Negative Logits
     fullest
    -0.74
    igmat
    -0.70
     appreciated
    -0.69
     currencies
    -0.68
     burd
    -0.67
    multipl
    -0.67
    wives
    -0.59
    ¿
    -0.59
     concert
    -0.59
     throats
    -0.58
    POSITIVE LOGITS
    ipop
    0.94
     Nope
    0.91
    oil
    0.81
     Huh
    0.79
     Yep
    0.77
    imedia
    0.77
    wl
    0.76
    yssey
    0.74
    swick
    0.73
    edia
    0.73
    Activations Density 0.018%

    No Known Activations