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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. 9-RES-JB
    6. 18126
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    Explanations

    references to specific persons or names, potentially in a legal or official context

    oai_token-act-pair · gpt-3.5-turbo

    key phrases or names related to notable individuals or specific actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.79
    gel
    -0.72
    HR
    -0.72
    KR
    -0.71
     shenan
    -0.70
    gar
    -0.70
    Gar
    -0.70
     newsp
    -0.69
     bucket
    -0.69
     shorth
    -0.69
    POSITIVE LOGITS
    enei
    0.97
    ine
    0.95
    inen
    0.91
    INE
    0.90
    ines
    0.81
    avis
    0.78
    inic
    0.77
    elli
    0.76
    oda
    0.73
    ining
    0.73
    Activations Density 0.571%

    No Known Activations