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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. 2566
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    INDEX
    Explanations

    phrases related to the passage of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of a situation or event

    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
    ©¶æ
    -0.74
    ãĥ³ãĤ¸
    -0.72
    Tur
    -0.72
    luaj
    -0.69
     Doodle
    -0.67
    ilings
    -0.67
    Studio
    -0.66
    ingo
    -0.66
     è£ıç
    -0.65
    ARP
    -0.65
    POSITIVE LOGITS
    ional
    0.99
    arian
    0.75
     matter
    0.75
    forward
    0.75
    rack
    0.73
    rance
    0.70
    rad
    0.70
    icular
    0.64
     shif
    0.63
     moot
    0.63
    Activations Density 0.019%

    No Known Activations