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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. 8872
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    Explanations

    words related to conclusions or finality

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating outcomes or conclusions

    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
    itsch
    -0.77
    htaking
    -0.68
    esome
    -0.66
    hee
    -0.65
    esis
    -0.65
    iets
    -0.62
    æ©Ł
    -0.62
     principals
    -0.59
    thouse
    -0.59
    king
    -0.59
    POSITIVE LOGITS
    angering
    1.25
    owment
    0.98
    ocrin
    0.94
    angered
    0.92
     abruptly
    0.90
    ocrine
    0.88
    angers
    0.85
     prematurely
    0.84
     tragically
    0.82
    orses
    0.77
    Activations Density 0.038%

    No Known Activations