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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 947
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    Explanations

    opportunities or chances in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opportunities and chances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemat
    -0.63
    oppable
    -0.63
    usterity
    -0.55
    Wa
    -0.54
     Expect
    -0.53
    arling
    -0.52
     dispers
    -0.52
    driving
    -0.51
     Federation
    -0.51
     Winning
    -0.50
    POSITIVE LOGITS
     to
    0.97
     ta
    0.70
    pta
    0.69
     opportunity
    0.67
    to
    0.67
    erity
    0.67
     thereto
    0.66
    forts
    0.65
     sqor
    0.63
    ãĥīãĥ©ãĤ´ãĥ³
    0.63
    Activations Density 0.152%

    No Known Activations