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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. 6-RES-JB
    6. 11103
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    INDEX
    Explanations

    mentions of events or actions that have had a significant impact or consequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant actions or changes attributed to a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .;
    -0.71
    cess
    -0.68
    aint
    -0.67
    chet
    -0.67
    nikov
    -0.67
    .",
    -0.66
    hatt
    -0.66
    cing
    -0.65
     Citizen
    -0.64
    chuk
    -0.64
    POSITIVE LOGITS
     incidentally
    0.87
     presumably
    0.76
    ulo
    0.70
    Ö¼
    0.69
     bundled
    0.69
     hereafter
    0.68
     comprise
    0.66
     admittedly
    0.66
     ironically
    0.63
     aggreg
    0.63
    Activations Density 0.321%

    No Known Activations