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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. 5416
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    INDEX
    Explanations

    mentions or instances of the word "found"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal discoveries or realizations

    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
    idium
    -0.86
     partic
    -0.68
    heed
    -0.65
     concess
    -0.65
    istry
    -0.64
    cius
    -0.64
     paced
    -0.61
     attendant
    -0.60
     Mandatory
    -0.60
     fue
    -0.59
    POSITIVE LOGITS
     myself
    0.84
    使
    0.78
    ãĤ¤ãĥĪ
    0.77
    IU
    0.76
    ãģ®å
    0.76
    çīĪ
    0.73
    Īè
    0.70
    é¾įå
    0.70
    Ô
    0.69
    unn
    0.69
    Activations Density 0.059%

    No Known Activations