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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. 18083
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    INDEX
    Explanations

    references to personal discoveries or realizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "found" in various contexts

    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
    idium
    -0.87
     partic
    -0.71
     paced
    -0.68
     attendant
    -0.67
     concess
    -0.64
    past
    -0.63
    ignore
    -0.63
     fue
    -0.60
    cussion
    -0.60
     aver
    -0.60
    POSITIVE LOGITS
    使
    0.80
    ãĤ¤ãĥĪ
    0.79
    AppData
    0.74
    ãģ®å
    0.74
    unn
    0.71
    çīĪ
    0.71
    ãĤ¼
    0.70
    herer
    0.68
    usky
    0.68
    oliath
    0.68
    Activations Density 0.061%

    No Known Activations